Svetha Venkatesh

According to our database1, Svetha Venkatesh authored at least 540 papers between 1989 and 2020.

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Bibliography

2020
Incorporating expert prior in Bayesian optimisation via space warping.
Knowl. Based Syst., 2020

Fast hyperparameter tuning using Bayesian optimization with directional derivatives.
Knowl. Based Syst., 2020

Batch Bayesian optimization using multi-scale search.
Knowl. Based Syst., 2020

Bayesian optimisation in unknown bounded search domains.
Knowl. Based Syst., 2020

Using spatiotemporal distribution of geocoded Twitter data to predict US county-level health indices.
Future Gener. Comput. Syst., 2020

Logically Consistent Loss for Visual Question Answering.
CoRR, 2020

Hierarchical Conditional Relation Networks for Multimodal Video Question Answering.
CoRR, 2020

Neurocoder: Learning General-Purpose Computation Using Stored Neural Programs.
CoRR, 2020

Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning.
CoRR, 2020

Sequential Subspace Search for Functional Bayesian Optimization Incorporating Experimenter Intuition.
CoRR, 2020

Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces.
CoRR, 2020

Learning to Abstract and Predict Human Actions.
CoRR, 2020

Distributional Reinforcement Learning with Maximum Mean Discrepancy.
CoRR, 2020

Bayesian Optimization with Missing Inputs.
CoRR, 2020

Scalable Backdoor Detection in Neural Networks.
CoRR, 2020

DeepCoDA: personalized interpretability for compositional health data.
CoRR, 2020

HyperVAE: A Minimum Description Length Variational Hyper-Encoding Network.
CoRR, 2020

Incorporating Expert Prior Knowledge into Experimental Design via Posterior Sampling.
CoRR, 2020

Self-Attentive Associative Memory.
CoRR, 2020

Bayesian Optimization for Adaptive Experimental Design: A Review.
IEEE Access, 2020

Level Set Estimation with Search Space Warping.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

The World has Changed - The World Needs to Change. What Multimedia has to Offer for Our Common Digital Future.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Neural Reasoning, Fast and Slow, for Video Question Answering.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Dynamic Language Binding in Relational Visual Reasoning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

MrPC: Causal Structure Learning in Distributed Systems.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Neural Stored-program Memory.
Proceedings of the 8th International Conference on Learning Representations, 2020

Hierarchical Conditional Relation Networks for Video Question Answering.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Accelerated Bayesian Optimisation through Weight-Prior Tuning.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Distributionally Robust Bayesian Quadrature Optimization.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Bayesian Optimization for Categorical and Category-Specific Continuous Inputs.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Attentional multilabel learning over graphs: a message passing approach.
Mach. Learn., 2019

Filtering Bayesian optimization approach in weakly specified search space.
Knowl. Inf. Syst., 2019

A flexible transfer learning framework for Bayesian optimization with convergence guarantee.
Expert Syst. Appl., 2019

Cost-aware Multi-objective Bayesian optimisation.
CoRR, 2019

Learning to Reason with Relational Video Representation for Question Answering.
CoRR, 2019

Sparse Spectrum Gaussian Process for Bayesian Optimisation.
CoRR, 2019

Stable Bayesian Optimisation via Direct Stability Quantification.
CoRR, 2019

Incomplete Conditional Density Estimation for Fast Materials Discovery.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Explaining Black-Box Models Using Interpretable Surrogates.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Bayesian Optimization with Unknown Search Space.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Multi-objective Bayesian optimisation with preferences over objectives.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Graph Transformation Policy Network for Chemical Reaction Prediction.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Improving Generalization and Stability of Generative Adversarial Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019

Learning to Remember More with Less Memorization.
Proceedings of the 7th International Conference on Learning Representations, 2019

Efficient Bayesian Optimization for Uncertainty Reduction Over Perceived Optima Locations.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Information-Theoretic Multi-task Learning Framework for Bayesian Optimisation.
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

Bayesian Optimization with Discrete Variables.
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

Detection of Compromised Models Using Bayesian Optimization.
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

Bayesian Optimisation for Objective Functions with Varying Smoothness.
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

Bayesian Functional Optimisation with Shape Prior.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
LTARM: A novel temporal association rule mining method to understand toxicities in a routine cancer treatment.
Knowl. Based Syst., 2018

Energy-based anomaly detection for mixed data.
Knowl. Inf. Syst., 2018

Discovering topic structures of a temporally evolving document corpus.
Knowl. Inf. Syst., 2018

Academia versus social media: A psycho-linguistic analysis.
J. Comput. Sci., 2018

Effective Identification of Similar Patients Through Sequential Matching over ICD Code Embedding.
J. Medical Syst., 2018

Stable Bayesian optimization.
Int. J. Data Sci. Anal., 2018

Hybrid Generative-Discriminative Models for Inverse Materials Design.
CoRR, 2018

The relationship between linguistic expression and symptoms of depression, anxiety, and suicidal thoughts: A longitudinal study of blog content.
CoRR, 2018

Practical Batch Bayesian Optimization for Less Expensive Functions.
CoRR, 2018

Relational dynamic memory networks.
CoRR, 2018

On catastrophic forgetting and mode collapse in Generative Adversarial Networks.
CoRR, 2018

Kernel Pre-Training in Feature Space via m-Kernels.
CoRR, 2018

Jointly Predicting Affective and Mental Health Scores Using Deep Neural Networks of Visual Cues on the Web.
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

Multi-Target Optimisation via Bayesian Optimisation and Linear Programming.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Learning Graph Representation via Frequent Subgraphs.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Efficient Bayesian Optimisation Using Derivative Meta-model.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Selecting Optimal Source for Transfer Learning in Bayesian Optimisation.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Information-Theoretic Transfer Learning Framework for Bayesian Optimisation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Exploration Enhanced Expected Improvement for Bayesian Optimization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Sqn2Vec: Learning Sequence Representation via Sequential Patterns with a Gap Constraint.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

A Privacy Preserving Bayesian Optimization with High Efficiency.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Dual Control Memory Augmented Neural Networks for Treatment Recommendations.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Prescriptive Analytics Through Constrained Bayesian Optimization.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Trans2Vec: Learning Transaction Embedding via Items and Frequent Itemsets.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Variational Memory Encoder-Decoder.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Resset: A Recurrent Model for Sequence of Sets with Applications to Electronic Medical Records.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Graph Memory Networks for Molecular Activity Prediction.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Knowledge Graph Embedding with Multiple Relation Projections.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Expected Hypervolume Improvement with Constraints.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Differentially Private Prescriptive Analytics.
Proceedings of the IEEE International Conference on Data Mining, 2018

Accelerating Experimental Design by Incorporating Experimenter Hunches.
Proceedings of the IEEE International Conference on Data Mining, 2018

Sparse Approximation for Gaussian Process with Derivative Observations.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

Exploiting Strategy-Space Diversity for Batch Bayesian Optimization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
A Framework for Mixed-Type Multioutcome Prediction With Applications in Healthcare.
IEEE J. Biomed. Health Informatics, 2017

<tt>Deepr</tt>: A Convolutional Net for Medical Records.
IEEE J. Biomed. Health Informatics, 2017

Using linguistic and topic analysis to classify sub-groups of online depression communities.
Multim. Tools Appl., 2017

Nonparametric discovery and analysis of learning patterns and autism subgroups from therapeutic data.
Knowl. Inf. Syst., 2017

Effective sparse imputation of patient conditions in electronic medical records for emergency risk predictions.
Knowl. Inf. Syst., 2017

Predicting healthcare trajectories from medical records: A deep learning approach.
J. Biomed. Informatics, 2017

Estimation of the prevalence of adverse drug reactions from social media.
Int. J. Medical Informatics, 2017

Latent sentiment topic modelling and nonparametric discovery of online mental health-related communities.
Int. J. Data Sci. Anal., 2017

Kernel-based features for predicting population health indices from geocoded social media data.
Decis. Support Syst., 2017

Finding Algebraic Structure of Care in Time: A Deep Learning Approach.
CoRR, 2017

Nonnegative Restricted Boltzmann Machines for Parts-based Representations Discovery and Predictive Model Stabilization.
CoRR, 2017

Statistical Latent Space Approach for Mixed Data Modelling and Applications.
CoRR, 2017

Energy-based Models for Video Anomaly Detection.
CoRR, 2017

Graph Classification via Deep Learning with Virtual Nodes.
CoRR, 2017

One Size Fits Many: Column Bundle for Multi-X Learning.
CoRR, 2017

Budgeted Batch Bayesian Optimization With Unknown Batch Sizes.
CoRR, 2017

Matrix-centric Neural Networks.
CoRR, 2017

Hierarchical semi-Markov conditional random fields for deep recursive sequential data.
Artif. Intell., 2017

Prediction of Population Health Indices from Social Media using Kernel-based Textual and Temporal Features.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Estimating Support Scores of Autism Communities in Large-Scale Web Information Systems.
Proceedings of the Web Information Systems Engineering - WISE 2017, 2017

Energy-Based Localized Anomaly Detection in Video Surveillance.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Process-constrained batch Bayesian optimisation.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Deep Learning to Attend to Risk in ICU.
Proceedings of the 2nd International Workshop on Knowledge Discovery in Healthcare Data Co-located with the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), 2017

High Dimensional Bayesian Optimization using Dropout.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

High Dimensional Bayesian Optimization with Elastic Gaussian Process.
Proceedings of the 34th International Conference on Machine Learning, 2017

Bayesian Optimization in Weakly Specified Search Space.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Regret Bounds for Transfer Learning in Bayesian Optimisation.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Regret for Expected Improvement over the Best-Observed Value and Stopping Condition.
Proceedings of The 9th Asian Conference on Machine Learning, 2017

Column Networks for Collective Classification.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
A Framework for Classifying Online Mental Health-Related Communities With an Interest in Depression.
IEEE J. Biomed. Health Informatics, 2016

CCTV Scene Perspective Distortion Estimation From Low-Level Motion Features.
IEEE Trans. Circuits Syst. Video Technol., 2016

Nonparametric discovery of movement patterns from accelerometer signals.
Pattern Recognit. Lett., 2016

Modelling multilevel data in multimedia: A hierarchical factor analysis approach.
Multim. Tools Appl., 2016

Hierarchical Bayesian nonparametric models for knowledge discovery from electronic medical records.
Knowl. Based Syst., 2016

Modelling human preferences for ranking and collaborative filtering: a probabilistic ordered partition approach.
Knowl. Inf. Syst., 2016

Multiple task transfer learning with small sample sizes.
Knowl. Inf. Syst., 2016

Data clustering using side information dependent Chinese restaurant processes.
Knowl. Inf. Syst., 2016

A new transfer learning framework with application to model-agnostic multi-task learning.
Knowl. Inf. Syst., 2016

Stabilizing l<sub>1</sub>-norm prediction models by supervised feature grouping.
J. Biomed. Informatics, 2016

Collaborative filtering via sparse Markov random fields.
Inf. Sci., 2016

Graph-induced restricted Boltzmann machines for document modeling.
Inf. Sci., 2016

Learning deep representation of multityped objects and tasks.
CoRR, 2016

Choice by Elimination via Deep Neural Networks.
CoRR, 2016

Deepr: A Convolutional Net for Medical Records.
CoRR, 2016

An evaluation of randomized machine learning methods for redundant data: Predicting short and medium-term suicide risk from administrative records and risk assessments.
CoRR, 2016

Multilevel Anomaly Detection for Mixed Data.
CoRR, 2016

Control Matching via Discharge Code Sequences.
CoRR, 2016

Large-Scale Stylistic Analysis of Formality in Academia and Social Media.
Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

Discriminative Cues for Different Stages of Smoking Cessation in Online Community.
Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

Scalable Nonparametric Bayesian Multilevel Clustering.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Effect of social capital on emotion, language style and latent topics in online depression community.
Proceedings of the 2016 IEEE RIVF International Conference on Computing & Communication Technologies, 2016

Neural Choice by Elimination via Highway Networks.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2016

DeepCare: A Deep Dynamic Memory Model for Predictive Medicine.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Learning Multi-faceted Activities from Heterogeneous Data with the Product Space Hierarchical Dirichlet Processes.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2016

Privacy Aware K-Means Clustering with High Utility.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Toxicity Prediction in Cancer Using Multiple Instance Learning in a Multi-task Framework.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Flexible Transfer Learning Framework for Bayesian Optimisation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Differentially Private Multi-task Learning.
Proceedings of the Intelligence and Security Informatics - 11th Pacific Asia Workshop, 2016

Computer assisted autism interventions for India.
Proceedings of the 28th Australian Conference on Computer-Human Interaction, 2016

Preterm Birth Prediction: Stable Selection of Interpretable Rules from High Dimensional Data.
Proceedings of the 1st Machine Learning in Health Care, 2016

Achieving stable subspace clustering by post-processing generic clustering results.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Bayesian nonparametric Multiple Instance Regression.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Transfer learning for rare cancer problems via Discriminative Sparse Gaussian Graphical model.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Faster training of very deep networks via p-norm gates.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

MCNC: Multi-Channel Nonparametric Clustering from heterogeneous data.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Multiple adverse effects prediction in longitudinal cancer treatment.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Stable clinical prediction using graph support vector machines.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Hyperparameter tuning for big data using Bayesian optimisation.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Discovering latent affective dynamics among individuals in online mental health-related communities.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

Forecasting Patient Outflow from Wards having No Real-Time Clinical Data.
Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016

Budgeted Batch Bayesian Optimization.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

One-Pass Logistic Regression for Label-Drift and Large-Scale Classification on Distributed Systems.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Multi-task transfer learning for in-hospital-death prediction of ICU patients.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Data Mining of Intervention for Children with Autism Spectrum Disorder.
Proceedings of the eHealth 360°, 2016

Learning Multifaceted Latent Activities from Heterogeneous Mobile Data.
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

Analysing the History of Autism Spectrum Disorder Using Topic Models.
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

Cascade Bayesian Optimization.
Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016

Exceptional Contrast Set Mining: Moving Beyond the Deluge of the Obvious.
Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016

Textual Cues for Online Depression in Community and Personal Settings.
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

Extracting Key Challenges in Achieving Sobriety Through Shared Subspace Learning.
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

Understanding Behavioral Differences Between Short and Long-Term Drinking Abstainers from Social Media.
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

Stabilizing Linear Prediction Models Using Autoencoder.
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

Outlier Detection on Mixed-Type Data: An Energy-Based Approach.
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

A Bayesian Nonparametric Approach for Multi-label Classification.
Proceedings of The 8th Asian Conference on Machine Learning, 2016

2015
Stabilizing High-Dimensional Prediction Models Using Feature Graphs.
IEEE J. Biomed. Health Informatics, 2015

Detection of Dynamic Background Due to Swaying Movements From Motion Features.
IEEE Trans. Image Process., 2015

Two Maximum Entropy-Based Algorithms for Running Quantile Estimation in Nonstationary Data Streams.
IEEE Trans. Circuits Syst. Video Technol., 2015

Autism Blogs: Expressed Emotion, Language Styles and Concerns in Personal and Community Settings.
IEEE Trans. Affect. Comput., 2015

Using Twitter to learn about the autism community.
Soc. Netw. Anal. Min., 2015

A predictive framework for modeling healthcare data with evolving clinical interventions.
Stat. Anal. Data Min., 2015

Mixed-norm sparse representation for multi view face recognition.
Pattern Recognit., 2015

Efficient and accurate set-based registration of time-separated aerial images.
Pattern Recognit., 2015

Stabilized sparse ordinal regression for medical risk stratification.
Knowl. Inf. Syst., 2015

Learning vector representation of medical objects via EMR-driven nonnegative restricted Boltzmann machines (eNRBM).
J. Biomed. Informatics, 2015

Stable feature selection for clinical prediction: Exploiting ICD tree structure using Tree-Lasso.
J. Biomed. Informatics, 2015

Tree-based iterated local search for Markov random fields with applications in image analysis.
J. Heuristics, 2015

Viewpoint distortion compensation in practical surveillance systems.
CoRR, 2015

Differentiating Sub-groups of Online Depression-Related Communities Using Textual Cues.
Proceedings of the Web Information Systems Engineering - WISE 2015, 2015

Visual Object Clustering via Mixed-Norm Regularization.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

What shall I share and with Whom? - A Multi-Task Learning Formulation using Multi-Faceted Task Relationships.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Learning Entry Profiles of Children with Autism from Multivariate Treatment Information Using Restricted Boltzmann Machines.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2015

Prediciton of Emergency Events: A Multi-Task Multi-Label Learning Approach.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

A Bayesian Nonparametric Approach to Multilevel Regression.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Small-Variance Asymptotics for Bayesian Nonparametric Models with Constraints.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Fast One-Class Support Vector Machine for Novelty Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Learning Conditional Latent Structures from Multiple Data Sources.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Collaborating Differently on Different Topics: A Multi-Relational Approach to Multi-Task Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Stabilizing Sparse Cox Model Using Statistic and Semantic Structures in Electronic Medical Records.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Hierarchical Dirichlet Process for Tracking Complex Topical Structure Evolution and Its Application to Autism Research Literature.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

The adaptable buffer algorithm for high quantile estimation in non-stationary data streams.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Groupwise Registration of Aerial Images.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Differentially Private Random Forest with High Utility.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Improved risk predictions via sparse imputation of patient conditions in electronic medical records.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Exploiting feature relationships towards stable feature selection.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Nonparametric discovery of online mental health-related communities.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Multi-View Subspace Clustering for Face Images.
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015

Understanding Toxicities and Complications of Cancer Treatment: A Data Mining Approach.
Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015

Stable Feature Selection with Support Vector Machines.
Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015

Overcoming Data Scarcity of Twitter: Using Tweets as Bootstrap with Application to Autism-Related Topic Content Analysis.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

Streaming Variational Inference for Dirichlet Process Mixtures.
Proceedings of The 7th Asian Conference on Machine Learning, 2015

Tensor-Variate Restricted Boltzmann Machines.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Affective and Content Analysis of Online Depression Communities.
IEEE Trans. Affect. Comput., 2014

Social reader: towards browsing the social web.
Multim. Tools Appl., 2014

Mood sensing from social media texts and its applications.
Knowl. Inf. Syst., 2014

Anomaly detection in large-scale data stream networks.
Data Min. Knowl. Discov., 2014

Permutation Models for Collaborative Ranking.
CoRR, 2014

MCMC for Hierarchical Semi-Markov Conditional Random Fields.
CoRR, 2014

Learning Structured Outputs from Partial Labels using Forest Ensemble.
CoRR, 2014

Learning Rank Functionals: An Empirical Study.
CoRR, 2014

Human Activity Learning and Segmentation using Partially Hidden Discriminative Models.
CoRR, 2014

Boosted Markov Networks for Activity Recognition.
CoRR, 2014

Stabilizing Sparse Cox Model using Clinical Structures in Electronic Medical Records.
CoRR, 2014

Two maximum entropy based algorithms for running quantile estimation in non-stationary data streams.
CoRR, 2014

A framework for feature extraction from hospital medical data with applications in risk prediction.
BMC Bioinform., 2014

iPoll: Automatic Polling Using Online Search.
Proceedings of the Web Information Systems Engineering - WISE 2014, 2014

Affective, Linguistic and Topic Patterns in Online Autism Communities.
Proceedings of the Web Information Systems Engineering - WISE 2014, 2014

Effect of Mood, Social Connectivity and Age in Online Depression Community via Topic and Linguistic Analysis.
Proceedings of the Web Information Systems Engineering - WISE 2014, 2014

Keeping up with Innovation: A Predictive Framework for Modeling Healthcare Data with Evolving Clinical Interventions.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Fixed-lag particle filter for continuous context discovery using Indian Buffet Process.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2014

Intervention-Driven Predictive Framework for Modeling Healthcare Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Unsupervised inference of significant locations from WiFi data for understanding human dynamics.
Proceedings of the 13th International Conference on Mobile and Ubiquitous Multimedia, 2014

Nonparametric Discovery of Learning Patterns and Autism Subgroups from Therapeutic Data.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

A Bayesian Nonparametric Framework for Activity Recognition Using Accelerometer Data.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Regularizing Topic Discovery in EMRs with Side Information by Using Hierarchical Bayesian Models.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Stream Quantiles via Maximal Entropy Histograms.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts.
Proceedings of the 31th International Conference on Machine Learning, 2014

Individualized arrhythmia detection with ECG signals from wearable devices.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

Analysis of circadian rhythms from online communities of individuals with affective disorders.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

Data-mining twitter and the autism spectrum disorder: A Pilot study.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2013
Connectivity, Online Social Capital, and Mood: A Bayesian Nonparametric Analysis.
IEEE Trans. Multim., 2013

Efficient Algorithms for Robust Recovery of Images From Compressed Data.
IEEE Trans. Image Process., 2013

Compressive speech enhancement.
Speech Commun., 2013

Detection of cross-channel anomalies.
Knowl. Inf. Syst., 2013

Event extraction using behaviors of sentiment signals and burst structure in social media.
Knowl. Inf. Syst., 2013

Regularized nonnegative shared subspace learning.
Data Min. Knowl. Discov., 2013

A novel information theoretic approach to wavelet feature selection for texture classification.
Comput. Electr. Eng., 2013

Sparse Subspace Clustering via Group Sparse Coding.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Extraction of latent patterns and contexts from social honest signals using hierarchical Dirichlet processes.
Proceedings of the 2013 IEEE International Conference on Pervasive Computing and Communications, 2013

Clustering Patient Medical Records via Sparse Subspace Representation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Split-Merge Augmented Gibbs Sampling for Hierarchical Dirichlet Processes.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Latent Patient Profile Modelling and Applications with Mixed-Variate Restricted Boltzmann Machine.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

An integrated framework for suicide risk prediction.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Interactive browsing system for anomaly video surveillance.
Proceedings of the 2013 IEEE Eighth International Conference on Intelligent Sensors, 2013

Online Social Capital: Mood, Topical and Psycholinguistic Analysis.
Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

Topic Model Kernel: An Empirical Study towards Probabilistically Reduced Features for Classification.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Thurstonian Boltzmann Machines: Learning from Multiple Inequalities.
Proceedings of the 30th International Conference on Machine Learning, 2013

Factorial Multi-Task Learning : A Bayesian Nonparametric Approach.
Proceedings of the 30th International Conference on Machine Learning, 2013

Learning sparse latent representation and distance metric for image retrieval.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo, 2013

Analysis of psycholinguistic processes and topics in online autism communities.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo, 2013

Exploiting side information in distance dependent Chinese restaurant processes for data clustering.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo, 2013

TOBY: early intervention in autism through technology.
Proceedings of the 2013 ACM SIGCHI Conference on Human Factors in Computing Systems, 2013

Learning Parts-based Representations with Nonnegative Restricted Boltzmann Machine.
Proceedings of the Asian Conference on Machine Learning, 2013

2012
Improved Image Recovery From Compressed Data Contaminated With Impulsive Noise.
IEEE Trans. Image Process., 2012

A Spectral Slit Approach to Doubletalk Detection.
IEEE Trans. Speech Audio Process., 2012

Pervasive multimedia for autism intervention.
Pervasive Mob. Comput., 2012

An innovative face image enhancement based on principle component analysis.
Int. J. Mach. Learn. Cybern., 2012

Learning From Ordered Sets and Applications in Collaborative Ranking.
Proceedings of the 4th Asian Conference on Machine Learning, 2012

Cumulative Restricted Boltzmann Machines for Ordinal Matrix Data Analysis.
Proceedings of the 4th Asian Conference on Machine Learning, 2012

A Slice Sampler for Restricted Hierarchical Beta Process with Applications to Shared Subspace Learning.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

A Bayesian Nonparametric Joint Factor Model for Learning Shared and Individual Subspaces from Multiple Data Sources.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Funniest thing i've seen since [href=//flic.kr/p/KGEGB]: shifting perspectives from multimedia artefacts to utterances.
Proceedings of the 2012 international workshop on Socially-aware multimedia, 2012

A Sentiment-Aware Approach to Community Formation in Social Media.
Proceedings of the Sixth International Conference on Weblogs and Social Media, 2012

Large-scale statistical modeling of motion patterns: a Bayesian nonparametric approach.
Proceedings of the Eighth Indian Conference on Vision, Graphics and Image Processing, 2012

Optimal metric selection for improved multi-pose face recognition with group information.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Multi-modal abnormality detection in video with unknown data segmentation.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

A nonparametric Bayesian Poisson gamma model for count data.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Learning Boltzmann Distance Metric for Face Recognition.
Proceedings of the 2012 IEEE International Conference on Multimedia and Expo, 2012

Towards a Video Browser for the Digital Native.
Proceedings of the 2012 IEEE International Conference on Multimedia and Expo Workshops, 2012

Sparse Subspace Representation for Spectral Document Clustering.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Embedded Restricted Boltzmann Machines for fusion of mixed data types and applications in social measurements analysis.
Proceedings of the 15th International Conference on Information Fusion, 2012

Improved subspace clustering via exploitation of spatial constraints.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

A Sequential Decision Approach to Ordinal Preferences in Recommender Systems.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Unified formulation of linear discriminant analysis methods and optimal parameter selection.
Pattern Recognit., 2011

Mixed-Variate Restricted Boltzmann Machines.
Proceedings of the 3rd Asian Conference on Machine Learning, 2011

Prediction of Age, Sentiment, and Connectivity from Social Media Text.
Proceedings of the Web Information System Engineering - WISE 2011, 2011

Probabilistic Models over Ordered Partitions with Applications in Document Ranking and Collaborative Filtering.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Emotional Reactions to Real-World Events in Social Networks.
Proceedings of the New Frontiers in Applied Data Mining, 2011

A Bayesian Framework for Learning Shared and Individual Subspaces from Multiple Data Sources.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Cognitive intervention in autism using multimedia stimulus.
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Networking of multimedia women event beyond epsilon science: where to look and how to realize new opportunities.
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Eventscapes: visualizing events over time with emotive facets.
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Towards Discovery of Influence and Personality Traits through Social Link Prediction.
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

Detection of Cross-Channel Anomalies from Multiple Data Channels.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Efficient subwindow search with submodular score functions.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

A context-sensitive device to help people with autism cope with anxiety.
Proceedings of the International Conference on Human Factors in Computing Systems, 2011

Supervised Subspace Learning with Multi-class Lagrangian SVM on the Grassmann Manifold.
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

2010
Discovery of latent subcommunities in a blog's readership.
ACM Trans. Web, 2010

Bayesian Minimax Estimation of the Normal Model With Incomplete Prior Covariance Matrix Specification.
IEEE Trans. Inf. Theory, 2010

A Study on Smoothing for Particle-Filtered 3D Human Body Tracking.
Int. J. Comput. Vis., 2010

Probabilistic Models over Ordered Partitions with Application in Learning to Rank
CoRR, 2010

A Smartphone-Based Obstacle Sensor for the Visually Impaired.
Proceedings of the Ubiquitous Intelligence and Computing - 7th International Conference, 2010

Classification and Pattern Discovery of Mood in Weblogs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Hyper-community detection in the blogosphere.
Proceedings of second ACM SIGMM workshop on Social media, 2010

Nonnegative shared subspace learning and its application to social media retrieval.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Interactively browsing movies in terms of action, foreshadowing and resolution.
Proceedings of the 2010 Joint International Conference on Digital Libraries, 2010

A Fast Extension for Sparse Representation on Robust Face Recognition.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Multi-class Pattern Classification in Imbalanced Data.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

A unified 2D-3D video scene change detection framework for mobile camera platforms.
Proceedings of the 11th International Conference on Control, 2010

Exploiting Monge structures in optimum subwindow search.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Augmenting trust establishment in dynamic systems with social networks.
Proceedings of the 6th Cyber Security and Information Intelligence Research Workshop, 2010

Portable form filling assistant for the visually impaired.
Proceedings of the 2010 British Computer Society Conference on Human-Computer Interaction, 2010

2009
A unified tensor framework for face recognition.
Pattern Recognit., 2009

Unsupervised context detection using wireless signals.
Pervasive Mob. Comput., 2009

Dynamic Privacy in Public Surveillance.
Computer, 2009

Efficient duration and hierarchical modeling for human activity recognition.
Artif. Intell., 2009

Ordinal Boltzmann Machines for Collaborative Filtering.
Proceedings of the UAI 2009, 2009

High Accuracy Context Recovery using Clustering Mechanisms.
Proceedings of the Seventh Annual IEEE International Conference on Pervasive Computing and Communications, 2009

Flickr hypergroups.
Proceedings of the 17th International Conference on Multimedia 2009, 2009

Social reader: following social networks in the wilds of the blogosphere.
Proceedings of the first SIGMM workshop on Social media, 2009

Automatic Fitting of a Deformable Face Mask Using a Single Image.
Proceedings of the Computer Vision/Computer Graphics Collaboration Techniques, 2009

A Framework for the design of privacy preserving pervasive healthcare.
Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, 2009

Effective Anomaly Detection in Sensor Networks Data Streams.
Proceedings of the ICDM 2009, 2009

Comparative evaluation of pedestrian detection methods for mobile bus surveillance.
Proceedings of the IEEE International Conference on Acoustics, 2009

Efficient algorithms for subwindow search in object detection and localization.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Distributed Audio Network for Speech Enhancement in Challenging Noise Backgrounds.
Proceedings of the Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance, 2009

Classifying Multiple Imbalanced Attributes in Relational Data.
Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009

2008
Dynamic privacy assessment in a smart house environment using multimodal sensing.
ACM Trans. Multim. Comput. Commun. Appl., 2008

Sensing and using social context.
ACM Trans. Multim. Comput. Commun. Appl., 2008

Recognising online spatial activities using a bioinformatics inspired sequence alignment approach.
Pattern Recognit., 2008

"You Tube and I Find" - Personalizing Multimedia Content Access.
Proc. IEEE, 2008

Using dynamic time warping for online temporal fusion in multisensor systems.
Inf. Fusion, 2008

Computable social patterns from sparse sensor data.
Proceedings of the First International Workshop on Location and the Web, 2008

Constrained Sequence Classification for Lexical Disambiguation.
Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

Learning Discriminative Sequence Models from Partially Labelled Data for Activity Recognition.
Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

Hierarchical Semi-Markov Conditional Random Fields for Recursive Sequential Data.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Contextual navigation in a multimedia journal.
Proceedings of the 16th International Conference on Multimedia 2008, 2008

Temporal semantic compression for video browsing.
Proceedings of the 13th International Conference on Intelligent User Interfaces, 2008

Efficient tensor based face recognition.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Boosting performance for 2D Linear Discriminant Analysis via regression.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Ridge Regression for Two Dimensional Locality Preserving Projection.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Context aware privacy in visual surveillance.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Adaptive speech enhancement with varying noise backgrounds.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Model-based combined tracking and resolution enhancement.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Learning in imbalanced relational data.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Model-based character recognition in low resolution.
Proceedings of the International Conference on Image Processing, 2008

Pedestrian detection for mobile bus surveillance.
Proceedings of the 10th International Conference on Control, 2008

Passenger monitoring in moving bus video.
Proceedings of the 10th International Conference on Control, 2008

08251 Summary - Contextual and Social Media Understanding and Usage.
Proceedings of the Contextual and Social Media Understanding and Usage, 15.06., 2008

08251 Abstracts Collection - Contextual and Social Media Understanding and Usage.
Proceedings of the Contextual and Social Media Understanding and Usage, 15.06., 2008

Recognising faces in unseen modes: A tensor based approach.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Joint learning and dictionary construction for pattern recognition.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Robust learning of discriminative projection for multicategory classification on the Stiefel manifold.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Exploiting side information in locality preserving projection.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Indoor Location Prediction Using Multiple Wireless Received Signal Strengths.
Proceedings of the Data Mining and Analytics 2008, 2008

The Hidden Permutation Model and Location-Based Activity Recognition.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
Video abstraction: A systematic review and classification.
ACM Trans. Multim. Comput. Commun. Appl., 2007

Online audio background determination for complex audio environments.
ACM Trans. Multim. Comput. Commun. Appl., 2007

Fast cross-validation algorithms for least squares support vector machine and kernel ridge regression.
Pattern Recognit., 2007

Multi-modal emotive computing in a smart house environment.
Pervasive Mob. Comput., 2007

Recognition of emergent human behaviour in a smart home: A data mining approach.
Pervasive Mob. Comput., 2007

Face recognition based on ordinal correlation.
Int. J. Intell. Syst. Technol. Appl., 2007

Film audio pace.
Int. J. Intell. Syst. Technol. Appl., 2007

Random Subspace Two-Dimensional PCA for Face Recognition.
Proceedings of the Advances in Multimedia Information Processing, 2007

Acquiring Critical Light Points for Illumination Subspaces of Face Images by Affinity Propagation Clustering.
Proceedings of the Advances in Multimedia Information Processing, 2007

Linking Identities and Viewpoints in Home Movies Based on Robust Feature Matching.
Proceedings of the Advances in Multimedia Modeling, 2007

Utility-Based Summarization of Home Videos.
Proceedings of the Advances in Multimedia Modeling, 2007

Generating comprehensible summaries of rushes sequences based on robust feature matching.
Proceedings of the 1st ACM Workshop on Video Summarization, 2007

Privacy and the access of information in a smart house environment.
Proceedings of the 15th International Conference on Multimedia 2007, 2007

Distributed query processing for mobile surveillance.
Proceedings of the 15th International Conference on Multimedia 2007, 2007

Face Recognition via the Overlapping Energy Histogram.
Proceedings of the IJCAI 2007, 2007

Dynamic Privacy in a Smart House Environment.
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

Infrequent Item Mining in Multiple Data Streams.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Calibration of Audio-Video Sensors for Multi-Modal Event Indexing.
Proceedings of the IEEE International Conference on Acoustics, 2007

Tracking-as-Recognition for Articulated Full-Body Human Motion Analysis.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Face Recognition Using Kernel Ridge Regression.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Preference Networks: Probabilistic Models for Recommendation Systems.
Proceedings of the Data Mining and Analytics 2007, 2007

2006
A Fast Feature-based Dimension Reduction Algorithm for Kernel Classifiers.
Neural Process. Lett., 2006

A chemotactic-based model for spatial activity recognition.
Int. J. Syst. Sci., 2006

Curtin at TRECVID 2006 Rushes Summarization.
Proceedings of the 2006 TREC Video Retrieval Evaluation, 2006

Narrative structure detection through audio pace.
Proceedings of the 12th International Conference on Multi Media Modeling (MMM 2006), 2006

Virtual observers in a mobile surveillance system.
Proceedings of the 14th ACM International Conference on Multimedia, 2006

Extraction of social context and application to personal multimedia exploration.
Proceedings of the 14th ACM International Conference on Multimedia, 2006

Browsing personal media archives with spatial context using panoramas.
Proceedings of the 14th ACM International Conference on Multimedia, 2006

Observation-Switching Linear Dynamic Systems for Tracking Humans Through Unexpected Partial Occlusions by Scene Objects.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Unifying Background Models over Complex Audio using Entropy.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Human Behavior Recognition with Generic Exponential Family Duration Modeling in the Hidden Semi-Markov Model.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Efficient Cross-validation of the Complete Two Stages in KFD Classifier Formulation.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

An Embedded Suggestive Interface for Making Home Videos.
Proceedings of the 2006 IEEE International Conference on Multimedia and Expo, 2006

AdaBoost.MRF: Boosted Markov Random Forests and Application to Multilevel Activity Recognition.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

Recognising Behaviours of Multiple People with Hierarchical Probabilistic Model and Statistical Data Association.
Proceedings of the British Machine Vision Conference 2006, 2006

A Smith-Waterman Local Alignment Approach for Spatial Activity Recognition.
Proceedings of the Advanced Video and Signal Based Surveillance, 2006

2005
IMCE: Integrated media creation environment.
ACM Trans. Multim. Comput. Commun. Appl., 2005

Extraction of Film Takes for Cinematic Analysis.
Multim. Tools Appl., 2005

A Probabilistic Framework for Extracting Narrative Act Boundaries and Semantics in Motion Pictures.
Multim. Tools Appl., 2005

Robust Recognition and Segmentation of Human Actions Using HMMs with Missing Observations.
EURASIP J. Adv. Signal Process., 2005

Topic transition detection using hierarchical hidden Markov and semi-Markov models.
Proceedings of the 13th ACM International Conference on Multimedia, 2005

Situated event bootstrapping and capture guidance for automated home movie authoring.
Proceedings of the 13th ACM International Conference on Multimedia, 2005

Dynamic shot suggestion filtering for home video based on user performance.
Proceedings of the 13th ACM International Conference on Multimedia, 2005

Fast cross-validation of kernel Fisher discriminant classifiers.
Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005

Finding the Optimal Temporal Partitioning of Video Sequences.
Proceedings of the 2005 IEEE International Conference on Multimedia and Expo, 2005

Persistent audio modelling for background determination.
Proceedings of the 2005 IEEE International Conference on Multimedia and Expo, 2005

Injection, detection and repair of aesthetics in home movies.
Proceedings of the 2005 IEEE International Conference on Multimedia and Expo, 2005

Combining Image Regions and Human Activity for Indirect Object Recognition in Indoor Wide-Angle Views.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

Learning and Detecting Activities from Movement Trajectories Using the Hierarchical Hidden Markov Models.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Activity Recognition and Abnormality Detection with the Switching Hidden Semi-Markov Model.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

A Probabilistic Approach to the Anxious Home for Activity Monitoring.
Proceedings of the 29th Annual International Computer Software and Applications Conference, 2005

Discovery of Activity Structures using the Hierarchical Hidden Markov Model.
Proceedings of the British Machine Vision Conference 2005, Oxford, UK, September 2005, 2005

2004
Using Interaction Signatures to Find and Label Chairs and Floors.
IEEE Pervasive Comput., 2004

Formation of a geometric pattern with a mobile wireless sensor network.
J. Field Robotics, 2004

Authoring Multimedia Authoring Tools.
IEEE Multim., 2004

Using multiple windows to track concept drift.
Intell. Data Anal., 2004

Content Structure Discovery in Educational Videos Using Shared Structures in the Hierarchical Hidden Markov Models.
Proceedings of the Structural, 2004

Learning People Movement Model from Multiple Cameras for Behaviour Recognition.
Proceedings of the Structural, 2004

Automatic Labeling of Sports Video Using Umpire Gesture Recognition.
Proceedings of the Structural, 2004

Classifying Human Actions Using an Incomplete Real-Time Pose Skeleton.
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

Explicit State Duration HMM for Abnormality Detection in Sequences of Human Activity.
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

Adaptive Model for Foreground Extraction in Adverse Lighting Conditions.
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

An Immunological Approach to Raising Alarms in Video Surveillance.
Proceedings of the Advances in Multimedia Information Processing - PCM 2004, 5th Pacific Rim Conference on Multimedia, Tokyo, Japan, November 30, 2004

Discovering Semantics from Visualizations of Film Takes.
Proceedings of the 10th International Multimedia Modeling Conference (MMM 2004), 2004

Segmentation of Intentional Human Gestures for Sports Video Annotation.
Proceedings of the 10th International Multimedia Modeling Conference (MMM 2004), 2004

Taming the roving camera: A framework for creating professional home movies through narrative and cinesthetic elements.
Proceedings of the 10th International Multimedia Modeling Conference (MMM 2004), 2004

Between context-aware media capture and multimedia content analysis: where do we find the promised land?
Proceedings of the 12th ACM International Conference on Multimedia, 2004

Director in your pocket: holistic help for the hapless home videographer.
Proceedings of the 12th ACM International Conference on Multimedia, 2004

Human Action Segmentation via Controlled Use of Missing Data in HMMs.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Automatically learning structural units in educational videos with the hierarchical hidden markov models.
Proceedings of the 2004 International Conference on Image Processing, 2004

Learning Hierarchical Hidden Markov Models with General State Hierarchy.
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

2003
Resource-aware Speculative Prefetching in Wireless Networks.
Wirel. Networks, 2003

Scene extraction in motion pictures.
IEEE Trans. Circuits Syst. Video Technol., 2003

Low-cost interactive active range finder.
Mach. Vis. Appl., 2003

Guest Editors' Introduction: Bridging the Semantic Gap with Computational Media Aesthetics.
IEEE Multim., 2003

Object Labelling from Human Action Recognition.
Proceedings of the First IEEE International Conference on Pervasive Computing and Communications (PerCom'03), 2003

Recognition of Human Activity through Hierarchical Stochastic Learning.
Proceedings of the First IEEE International Conference on Pervasive Computing and Communications (PerCom'03), 2003

Hierarchical topical segmentation in instructional films based on cinematic expressive functions.
Proceedings of the Eleventh ACM International Conference on Multimedia, 2003

Weaving stories in digital media: when Spielberg makes home movies.
Proceedings of the Eleventh ACM International Conference on Multimedia, 2003

Identifying film takes for cinematic analysis.
Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003

On the extraction of thematic and dramatic functions of content in educational videos.
Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003

Horror film genre typing and scene labeling via audio analysis.
Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003

Using camera motion to identify types of American football plays.
Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003

Indexing narrative structure and semantics in motion pictures with a probabilistic framework.
Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003

Recognising and Monitoring High-Level Behaviours in Complex Spatial Environments.
Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003

2002
Performance Optimization Problem in Speculative Prefetching.
IEEE Trans. Parallel Distributed Syst., 2002

Toward automatic extraction of expressive elements from motion pictures: tempo.
IEEE Trans. Multim., 2002

An application of "agent-oriented" techniques to symbolic matching and object recognition.
Pattern Recognit. Lett., 2002

Policy Recognition in the Abstract Hidden Markov Model.
J. Artif. Intell. Res., 2002

Finding the Beat: An Analysis of the Rhythmic Elements of Motion Pictures.
Int. J. Image Graph., 2002

A cooperative cache architecture in support of caching multimedia objects in MANETs.
Proceedings of the Fifth International Workshop on Wireless Mobile Multimedia, 2002

Comparing Shape and Temporal PDMs.
Proceedings of the Structural, 2002

An Application of Machine Learning Techniques for the Classification of Glaucomatous Progression.
Proceedings of the Structural, 2002

Application of computational media aesthetics methodology to extracting color semantics in film.
Proceedings of the 10th ACM International Conference on Multimedia 2002, 2002

High level segmentation of instructional videos based on content density.
Proceedings of the 10th ACM International Conference on Multimedia 2002, 2002

A Generalised Cost-Aware Caching Scheme for Caching Continuous Media Objects in Best-Effort Network Environments.
Proceedings of the Distributed Computing, 2002

Neighborhood Coherence and Edge Based Approaches to Film Scene Extraction.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

Temporal PDMs for Gait Classification.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

Narrative Structure Analysis with Education and Training Videos for E-Learning.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

Hierarchical Monitoring of People's Behaviors in Complex Environments Using Multiple Cameras.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

Hierarchical Recognition of Intentional Human Gestures for Sports Video Annotation.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

Film grammar based refinements to extracting scenes in motion pictures.
Proceedings of the 2002 IEEE International Conference on Multimedia and Expo, 2002

On the automatic indexing of cricket using camera motion parameters.
Proceedings of the 2002 IEEE International Conference on Multimedia and Expo, 2002

2001
Video sequence matching via decision tree path following.
Pattern Recognit. Lett., 2001

Combining multiple tracking algorithms for improved general performance.
Pattern Recognit., 2001

Video indexing and similarity retrieval by largest common subgraph detection using decision trees.
Pattern Recognit., 2001

Obtaining functional parametric models using active vision strategies.
Pattern Recognit., 2001

Tracking and Surveillance in Wide-Area Spatial Environments Using the Abstract Hidden Markov Model.
Int. J. Pattern Recognit. Artif. Intell., 2001

Computational Media Aesthetics: Finding Meaning Beautiful.
IEEE Multim., 2001

Analysis of Environmental Sounds as Indexical Signs in Film.
Proceedings of the Advances in Multimedia Information Processing, 2001

Affect computing in film through sound energy dynamics.
Proceedings of the 9th ACM International Conference on Multimedia 2001, Ottawa, Ontario, Canada, September 30, 2001

Effect of Speculative Prefetching on Network Load in Distributed Systems.
Proceedings of the 15th International Parallel & Distributed Processing Symposium (IPDPS-01), 2001

Determining Dramatic Intensification via Flashing Lights in Movies.
Proceedings of the 2001 IEEE International Conference on Multimedia and Expo, 2001

Detecting Indexical Signs In Film Audio For Scene Interpretation.
Proceedings of the 2001 IEEE International Conference on Multimedia and Expo, 2001

A Cache-Based Mobility-Aware Scheme For Real-Time Continuous Media Delivery In Wireless Networks.
Proceedings of the 2001 IEEE International Conference on Multimedia and Expo, 2001

Automated Film Rhythm Extraction For Scene Analysis.
Proceedings of the 2001 IEEE International Conference on Multimedia and Expo, 2001

A Flexible Receiver-Driven Cache Replacement Scheme for Continuous Media Objects in Best-Effort Networks.
Proceedings of the 34th Annual Hawaii International Conference on System Sciences (HICSS-34), 2001

2000
Semantic data modelling and visualisation using Noetica.
Data Knowl. Eng., 2000

How honeybees make grazing landings on flat surfaces.
Biol. Cybern., 2000

Performance modelling of speculative prefetching for compound requests in low bandwidth networks.
Proceedings of the Third ACM International Workshop on Wireless Mobile Multimedia, 2000

Graph Matching: Fast Candidate Elimination Using Machine Learning Techniques.
Proceedings of the Advances in Pattern Recognition, Joint IAPR International Workshops SSPR 2000 and SPR 2000, [8th International Workshop on Structural and Syntactic Pattern Recognition, 3rd International Workshop on Statistical Techniques in Pattern Recognition], Alicante, Spain, August 30, 2000

New enhancements to cut, fade, and dissolve detection processes in video segmentation.
Proceedings of the 8th ACM International Conference on Multimedia 2000, Los Angeles, CA, USA, October 30, 2000

Study of shot length and motion as contributing factors to movie tempo (poster session).
Proceedings of the 8th ACM International Conference on Multimedia 2000, Los Angeles, CA, USA, October 30, 2000

Incorporating Domain Knowledge with Video and Voice Data Analysis in News Broadcasts.
Proceedings of the International Workshop on Multimedia Data Mining, 2000

Automatic Genre Identification for Content-Based Video Categorization.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

On the Incremental Learning and Recognition of the Pattern of Movement of Multiple Labeled Objects in Dynamic Scenes.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

A Probabilistic Framework for Tracking in Wide-Area Environments.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

Determining Motion Components Using the Point Distribution Model.
Proceedings of the Advances in Multimodal Interfaces, 2000

Towards Automatic Extraction of Expressive Elements from Motion Pictures: Tempo.
Proceedings of the 2000 IEEE International Conference on Multimedia and Expo, 2000

Improved Fade and Dissolve Detection for Reliable Video Segmentation.
Proceedings of the 2000 International Conference on Image Processing, 2000

Novel Approach to Determining Tempo and Dramatic Story Sections in Motion Pictures.
Proceedings of the 2000 International Conference on Image Processing, 2000

On the Recognition of Abstract Markov Policies.
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1999
Robot navigation inspired by principles of insect vision.
Robotics Auton. Syst., 1999

Information access and QoS issues in a mobile computing environment.
J. Netw. Comput. Appl., 1999

Constructing and navigating personalised views of the Web.
Inf. Process. Manag., 1999

Learning Other Agents' Preferences in Multi-Agent Negotiation Using the Bayesian Classifier.
Int. J. Cooperative Inf. Syst., 1999

Layered dynamic probabilistic networks for spatio-temporal modelling.
Intell. Data Anal., 1999

Insect-Inspired Robotic Homing.
Adapt. Behav., 1999

From Insects to Robots.
Proceedings of the Experimental Robotics VI, 1999

A Performance Model of Speculative Prefetching in Distributed Information Systems.
Proceedings of the 13th International Parallel Processing Symposium / 10th Symposium on Parallel and Distributed Processing (IPPS / SPDP '99), 1999

An empirical study of neighbourhood decay in Kohonen's self organising map.
Proceedings of the International Joint Conference Neural Networks, 1999

Detection of Setting and Subject Information in Documentary Video.
Proceedings of the IEEE International Conference on Multimedia Computing and Systems, 1999

On the Automated Interpretation and Indexing of American Football.
Proceedings of the IEEE International Conference on Multimedia Computing and Systems, 1999

Symbolic Representation and Distributed Matching Strategies for Schematics.
Proceedings of the Fifth International Conference on Document Analysis and Recognition, 1999

Low-Cost Interactive Active Monocular Range Finder.
Proceedings of the 1999 Conference on Computer Vision and Pattern Recognition (CVPR '99), 1999

Classifying and Learning Cricket Shots Using Camera Motion.
Proceedings of the Advanced Topics in Artificial Intelligence, 1999

1998
Stabilising The Camera-To-Fixation Point Distance In Active Vision.
Pattern Recognit., 1998

Noetica: A Tool for Semantic Data Modelling.
Inf. Process. Manag., 1998

Extracting Common Subtrees from Decision Trees.
Int. J. Pattern Recognit. Artif. Intell., 1998

Investigation of a Prefetch Model for Low Bandwidth Networks.
Proceedings of First ACM International Workshop on Wireless Mobile Multimedia, 1998

An insect-based approach to robotic homing.
Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998

An efficient least common subgraph algorithm for video indexing.
Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998

Combining NL processing and video data to query American Football.
Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998

Classifying and detecting group behaviour from visual surveillance data.
Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998

1997
Resequencing of Video using Spatial Indexing.
J. Vis. Lang. Comput., 1997

Qualitative estimation of camera motion parameters from video sequences.
Pattern Recognit., 1997

Resolution consideration in spatially variant sensors.
Image Vis. Comput., 1997

Conceptual Representation for Multimedia Information.
Int. J. Pattern Recognit. Artif. Intell., 1997

The Visitors Guide: A Simple Video Reuse Application.
Int. J. Pattern Recognit. Artif. Intell., 1997

Hypothesis Verification Using Parametric Models and Active Vision Strategies.
Comput. Vis. Image Underst., 1997

A Framework for Coordination and Learning among Teams of Agents.
Proceedings of the Agents and Multi-Agent Systems Formalisms, 1997

Optimal Communication Among Team Members.
Proceedings of the Advanced Topics in Artificial Intelligence, 1997

1996
Spatial Indexing for Video Databases.
J. Vis. Commun. Image Represent., 1996

Media-Independent Knowledge Representation via UMART: Unified Mental Annotation and Retrieval Tool.
Proceedings of the Storage and Retrieval for Still Image and Video Databases IV, 1996

Media-Independent Information Representation and Retrieval.
Proceedings of the Storage and Retrieval for Still Image and Video Databases IV, 1996

Insect inspired behaviours for the autonomous control of mobile robots.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

Tracking in a space variant active vision system.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

Human saccadic eye movements and tracking by active foveation in log polar space.
Proceedings of the Human Vision and Electronic Imaging, 1996

A distributed directory scheme for information access in mobile computers.
Proceedings of the 3rd International Conference on High Performance Computing, 1996

Learning other Agents' Preferences in Multiagent Negotiation.
Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

1995
Local energy and pre-envelope.
Pattern Recognit., 1995

An Investigation into the Use of Physical Modeling for the Prediction of Various Feature Types Visible from Different Viewpoints.
Comput. Vis. Image Underst., 1995

Dynamic Threshold Determination by Local and Global Edge Evaluation.
CVGIP Graph. Model. Image Process., 1995

Hierarchical Directory-Based Shared Memory Architecture.
Comput. J., 1995

Spatial reasoning via active observation.
Appl. Artif. Intell., 1995

1994
Modeling Edges at Subpixel Accuracy Using the Local Energy Approach.
IEEE Trans. Pattern Anal. Mach. Intell., 1994

Emerging hypothesis verification using function-based geometric models and active vision strategies.
Proceedings of the Conference on Computer Vision and Pattern Recognition, 1994

1993
Extracting natural scales using fourier descriptors.
Pattern Recognit., 1993

Early Jump-Out Corner Detectors.
IEEE Trans. Pattern Anal. Mach. Intell., 1993

Hierarchic Representation for Spatial Knowledge.
Proceedings of the Computer Aided Systems Theory, 1993

1992
Edge evaluation using necessary components.
CVGIP Graph. Model. Image Process., 1992

Local energy, the pre-envelope, and filter resolution.
Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992

1991
A Unified Formalism for Landmark-Based Representation of Maps and Navigation Plans.
Proceedings of the Fuzzy Logic and Fuzzy Control, 1991

1990
On the classification of image features.
Pattern Recognit. Lett., 1990

1989
Edge detection is a projection.
Pattern Recognit. Lett., 1989


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