Nizar Bouguila
Orcid: 0000-0001-7224-7940
According to our database1,
Nizar Bouguila
authored at least 508 papers
between 2003 and 2024.
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Bibliography
2024
Grouped Spherical Data Modeling Through Hierarchical Nonparametric Bayesian Models and Its Application to fMRI Data Analysis.
IEEE Trans. Neural Networks Learn. Syst., April, 2024
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024
Big topic modeling based on a two-level hierarchical latent Beta-Liouville allocation for large-scale data and parameter streaming.
Pattern Anal. Appl., March, 2024
J. Imaging, March, 2024
Parallel inference for cross-collection latent generalized Dirichlet allocation model and applications.
Expert Syst. Appl., March, 2024
A topic modeling and image classification framework: The Generalized Dirichlet variational autoencoder.
Pattern Recognit., February, 2024
Proceedings of the 18th IEEE International Conference on Semantic Computing, 2024
A Privacy-Preserving Edge Computing Solution for Real-Time Passenger Counting at Bus Stops using Overhead Fisheye Camera.
Proceedings of the 18th IEEE International Conference on Semantic Computing, 2024
Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024
Proceedings of the 21st IEEE Consumer Communications & Networking Conference, 2024
2023
Automatic Counting of Planting Microsites via Local Visual Detection and Global Count Estimation.
IEEE Trans. Emerg. Top. Comput. Intell., December, 2023
Appl. Intell., November, 2023
Unsupervised Mixture Models on the Edge for Smart Energy Consumption Segmentation with Feature Saliency.
Sensors, October, 2023
Comput. Intell., October, 2023
Deep Clustering Analysis via Dual Variational Autoencoder With Spherical Latent Embeddings.
IEEE Trans. Neural Networks Learn. Syst., September, 2023
Expectation propagation learning of finite and infinite Gamma mixture models and its applications.
Multim. Tools Appl., September, 2023
Adv. Data Anal. Classif., September, 2023
IEEE Trans. Intell. Transp. Syst., August, 2023
Pattern Anal. Appl., August, 2023
IEEE Trans. Neural Networks Learn. Syst., July, 2023
UAV-Based Computer Vision System for Orchard Apple Tree Detection and Health Assessment.
Remote. Sens., July, 2023
Cross-collection latent Beta-Liouville allocation model training with privacy protection and applications.
Appl. Intell., July, 2023
Appl. Intell., July, 2023
IEEE Trans. Neural Networks Learn. Syst., June, 2023
Unsupervised Learning Using Expectation Propagation Inference of Inverted Beta-Liouville Mixture Models for Pattern Recognition Applications.
Cybern. Syst., May, 2023
Enhancement of clustering techniques by coupling clustering tree and neural network: Application to brain tumour segmentation.
Expert Syst. J. Knowl. Eng., March, 2023
Sensors, February, 2023
A novel minorization-maximization framework for simultaneous feature selection and clustering of high-dimensional count data.
Pattern Anal. Appl., February, 2023
Data-Weighted Multivariate Generalized Gaussian Mixture Model: Application to Point Cloud Robust Registration.
J. Imaging, 2023
Occupancy estimation in smart buildings using predictive modeling in imbalanced domains.
J. Ambient Intell. Humaniz. Comput., 2023
Liouville-Based Predictive Models for Occupancy Estimation Using Small Training Data.
IEEE Internet Things J., 2023
ICA and IVA bounded multivariate generalized Gaussian mixture based hidden Markov models.
Eng. Appl. Artif. Intell., 2023
Proceedings of the Tenth International Conference on Social Networks Analysis, 2023
Multivariate Beta Normality Scores Approach for Deep Anomaly Detection in Images Using Transformations.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Refining Nonparametric Mixture Models with Explainability for Smart Building Applications.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Enhancing Human Action Recognition with Asymmetric Generalized Gaussian Mixture Model-Based Hidden Markov Models and Bounded Support.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
HMMs Recursive Parameters Estimation for Semi-Bounded Data Modeling: Application to Occupancy Estimation in Smart Buildings.
Proceedings of the 12th International Conference on Smart Cities and Green ICT Systems, 2023
Finite Multivariate McDonald's Beta Mixture Model Learning Approach in Medical Applications.
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023
Multi-STGAC: A Graph Attention Based Model for Short-term Bus Passenger Flow Forecasting.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Predicting Passenger Flow Using Graph Neural Networks with Scheduled Sampling on Bus Networks.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Proceedings of the International Symposium on Networks, Computers and Communications, 2023
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2023
Deep Learning Based Solution for Appliance Operational State Detection and Power Estimation in Non-intrusive Load Monitoring.
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2023
Unsupervised Learning of Dirichlet Compound Negative Multinomial Mixture Model using Minorization-Maximization Approach.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023
Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 2023
Proceedings of the International Conference on Machine Learning and Applications, 2023
Proceedings of the International Conference on Machine Learning and Applications, 2023
Advancing Multinomial Regression and Topic Modeling with Beta-Liouville Distributions.
Proceedings of the International Conference on Machine Learning and Applications, 2023
Maximum Likelihood-Based Estimation of Finite Multivariate Libby-Novick Beta Mixture Models in Medical Applications.
Proceedings of the IEEE International Conference on Industrial Technology, 2023
3D Multi-Views Object Classification Based on a Fully Generalized Dirichlet Allocation Model.
Proceedings of the IEEE International Conference on Industrial Technology, 2023
Proceedings of the IEEE International Conference on Industrial Technology, 2023
Unsupervised Anomaly Detection using Deep Autoencoding Mixture of Probabilistic Principal Component Analyzers.
Proceedings of the 2023 8th International Conference on Intelligent Information Technology, 2023
Proceedings of the 25th International Conference on Enterprise Information Systems, 2023
Proceedings of the Artificial Intelligence and Soft Computing, 2023
Generalized Dirichlet-Multinomial Regression: Leveraging Arbitrary Features for Topic Modelling.
Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023
Adaptive Priors for Burstiness Analysis in Topic Modeling with Generalized Dirichlet Distributions.
Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023
A Comprehensive Analysis of a Hybrid Deep Learning Model for Midterm Electric Load Forecasting.
Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023
MoundCount: A detection-based approach for automatic counting of planting microsites on UAV images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the 20th Conference on Robots and Vision, 2023
Tree Health Assessment from UAV Images: Improving Object Detection and Classification Using Hard Negative Mining and Semi-Supervised Autoencoder.
Proceedings of the 20th Conference on Robots and Vision, 2023
Clarifying Myths About the Relationship Between Shape Bias, Accuracy, and Robustness.
Proceedings of the 20th Conference on Robots and Vision, 2023
Proceedings of the 9th International Conference on Control, 2023
A Fully Bayesian Inference Approach for Multivariate McDonald's Beta Mixture Model with Feature Selection.
Proceedings of the 9th International Conference on Control, 2023
Addressing Load Forecasting Challenges in Industrial Environments Using Time Series Deep Models.
Proceedings of the 2023 6th International Conference on Computational Intelligence and Intelligent Systems, 2023
Assessing the Effectiveness of Supervised and Semi-supervised NILM Approaches in an Industrial Context.
Proceedings of the 2023 6th International Conference on Computational Intelligence and Intelligent Systems, 2023
Proceedings of the Intelligent Information and Database Systems - 15th Asian Conference, 2023
Proceedings of the Intelligent Information and Database Systems - 15th Asian Conference, 2023
2022
Hierarchical Dirichlet and Pitman-Yor process mixtures of shifted-scaled Dirichlet distributions for proportional data modeling.
Comput. Intell., December, 2022
IEEE Trans. Netw. Serv. Manag., 2022
Sparse Count Data Clustering Using an Exponential Approximation to Generalized Dirichlet Multinomial Distributions.
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Neural Networks Learn. Syst., 2022
Maximum A Posteriori Approximation of Hidden Markov Models for Proportional Sequential Data Modeling With Simultaneous Feature Selection.
IEEE Trans. Neural Networks Learn. Syst., 2022
Stochastic Variational Optimization of a Hierarchical Dirichlet Process Latent Beta-Liouville Topic Model.
ACM Trans. Knowl. Discov. Data, 2022
Smoothed Generalized Dirichlet: A Novel Count-Data Model for Detecting Emotional States.
IEEE Trans. Artif. Intell., 2022
Entropy-Based Variational Scheme with Component Splitting for the Efficient Learning of Gamma Mixtures.
Sensors, 2022
Weakly Supervised Occupancy Prediction Using Training Data Collected via Interactive Learning.
Sensors, 2022
Unsupervised Grouped Axial Data Modeling via Hierarchical Bayesian Nonparametric Models With Watson Distributions.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Single-target visual tracking using color compression and spatially weighted generalized Gaussian mixture models.
Pattern Anal. Appl., 2022
A Bayesian sampling framework for asymmetric generalized Gaussian mixture models learning.
Neural Comput. Appl., 2022
Expectation propagation learning of finite multivariate Beta mixture models and applications.
Neural Comput. Appl., 2022
Multim. Tools Appl., 2022
A novel feature selection method using generalized inverted Dirichlet-based HMMs for image categorization.
Int. J. Mach. Learn. Cybern., 2022
Robust unsupervised image categorization based on variational autoencoder with disentangled latent representations.
Knowl. Based Syst., 2022
Two-Dimensional and Three-Dimensional CNN-Based Simultaneous Detection and Activity Classification of Construction Workers.
J. Comput. Civ. Eng., 2022
Exact fisher information of generalized Dirichlet multinomial distribution for count data modeling.
Inf. Sci., 2022
A Non-parametric Bayesian Learning Model Using Accelerated Variational Inference on Multivariate Beta Mixture Models for Medical Applications.
Int. J. Semantic Comput., 2022
Multivariate bounded support asymmetric generalized Gaussian mixture model with model selection using minimum message length.
Expert Syst. Appl., 2022
Eng. Appl. Artif. Intell., 2022
Comput. Vis. Image Underst., 2022
A Fully Bayesian Inference with Gibbs Sampling for Finite and Infinite Discrete Exponential Mixture Models.
Appl. Artif. Intell., 2022
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2022
Sentiment Analysis from User Reviews Using a Hybrid Generative-Discriminative HMM-SVM Approach.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2022
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2022
Bayesian Folding-In Using Generalized Dirichlet and Beta-Liouville Kernels for Information Retrieval.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Beta-Liouville and Inverted Beta-Liouville Based Predictive Models for Occupancy Detection using Small Training Data.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022
Proceedings of the 31st IEEE International Symposium on Industrial Electronics, 2022
A Generalized Inverted Dirichlet Predictive Model for Activity Recognition Using Small Training Data.
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence, 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
CNN-n-GRU: end-to-end speech emotion recognition from raw waveform signal using CNNs and gated recurrent unit networks.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
Automatic counting of mounds on UAV images: combining instance segmentation and patch-level correction.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
Proceedings of the IEEE International Conference on Industrial Technology, 2022
Indoor Activity Recognition Using a Hybrid Generative-Discriminative Approach with Hidden Markov Models and Support Vector Machines.
Proceedings of the IEEE International Conference on Industrial Technology, 2022
Multivariate Beta Dirichlet Process-based Hidden Markov Models Applied to Medical Applications.
Proceedings of the IEEE International Conference on Industrial Technology, 2022
A Flexible and Hybrid Feature Mapping Technique Based on multivariate Beta Distribution Kernel Applied to Medical Applications.
Proceedings of the IEEE International Conference on Industrial Technology, 2022
Proceedings of the IEEE International Conference on Industrial Technology, 2022
Proceedings of the Advances in Computational Collective Intelligence, 2022
Proceedings of the 17th International Conference on Future Networks and Communications / 19th International Conference on Mobile Systems and Pervasive Computing / 12th International Conference on Sustainable Energy Information Technology (FNC/MobiSPC/SEIT 2022), 2022
Integration of Multivariate Beta-based Hidden Markov Models and Support Vector Machines with Medical Applications.
Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022
EVOLIoT: A Self-Supervised Contrastive Learning Framework for Detecting and Characterizing Evolving IoT Malware Variants.
Proceedings of the ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022, 2022
2021
Unsupervised Learning Using Variational Inference on Finite Inverted Dirichlet Mixture Models with Component Splitting.
Wirel. Pers. Commun., 2021
A Hybrid of Interactive Learning and Predictive Modeling for Occupancy Estimation in Smart Buildings.
IEEE Trans. Consumer Electron., 2021
Soft Comput., 2021
Discriminative Learning Approach Based on Flexible Mixture Model for Medical Data Categorization and Recognition.
Sensors, 2021
Oil Spill Detection in SAR Images Using Online Extended Variational Learning of Dirichlet Process Mixtures of Gamma Distributions.
Remote. Sens., 2021
Simultaneous positive sequential vectors modeling and unsupervised feature selection via continuous hidden Markov models.
Pattern Recognit., 2021
Batch and online variational learning of hierarchical Dirichlet process mixtures of multivariate Beta distributions in medical applications.
Pattern Anal. Appl., 2021
Efficient integration of generative topic models into discriminative classifiers using robust probabilistic kernels.
Pattern Anal. Appl., 2021
Mach. Vis. Appl., 2021
Color object segmentation and tracking using flexible statistical model and level-set.
Multim. Tools Appl., 2021
Online mixture-based clustering for high dimensional count data using Neerchal-Morel distribution.
Knowl. Based Syst., 2021
Bayesian Learning of Shifted-Scaled Dirichlet Mixture Models and Its Application to Early COVID-19 Detection in Chest X-ray Images.
J. Imaging, 2021
Nonparametric variational learning of multivariate beta mixture models in medical applications.
Int. J. Imaging Syst. Technol., 2021
Nonparametric learning approach based on infinite flexible mixture model and its application to medical data analysis.
Int. J. Imaging Syst. Technol., 2021
Online variational inference on finite multivariate Beta mixture models for medical applications.
IET Image Process., 2021
Multivariate-bounded Gaussian mixture model with minimum message length criterion for model selection.
Expert Syst. J. Knowl. Eng., 2021
Online Learning of Finite and Infinite Gamma Mixture Models for COVID-19 Detection in Medical Images.
Comput., 2021
Mixture-based clustering for count data using approximated Fisher Scoring and Minorization-Maximization approaches.
Comput. Intell., 2021
On Short-Term Load Forecasting Using Machine Learning Techniques and a Novel Parallel Deep LSTM-CNN Approach.
IEEE Access, 2021
IEEE Access, 2021
Markov Chain Monte Carlo-Based Bayesian Inference for Learning Finite and Infinite Inverted Beta-Liouville Mixture Models.
IEEE Access, 2021
Clustering-Based Online News Topic Detection and Tracking Through Hierarchical Bayesian Nonparametric Models.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Hyperspectral Video Super-Resolution Using Beta Process and Bayesian Dictionary Learning.
Proceedings of the Advances in Visual Computing - 16th International Symposium, 2021
Variational Learning of the Mixture of Shifted-Scaled Dirichlet Distributions via Entropy Splitting.
Proceedings of the International Symposium on Networks, Computers and Communications, 2021
Proceedings of the 30th IEEE International Symposium on Industrial Electronics, 2021
Proceedings of the 30th IEEE International Symposium on Industrial Electronics, 2021
Statistical Modeling Using Bounded Asymmetric Gaussian Mixtures: Application to Human Action and Gender Recognition.
Proceedings of the 22nd IEEE International Conference on Information Reuse and Integration for Data Science, 2021
Proceedings of the 22nd IEEE International Conference on Information Reuse and Integration for Data Science, 2021
Proceedings of the 22nd IEEE International Conference on Information Reuse and Integration for Data Science, 2021
Proceedings of the 22nd IEEE International Conference on Information Reuse and Integration for Data Science, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Stochastic Expectation Propagation Learning of Infinite Multivariate Beta Mixture Models for Human Tissue Analysis.
Proceedings of the IECON 2021, 2021
Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021
Birth-Death MCMC Approach for Multivariate Beta Mixture Models in Medical Applications.
Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021
Batch and Online Variational Learning of Hierarchical Pitman-Yor Mixtures of Multivariate Beta Distributions.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
Performance Evaluation of Adversarial Learning for Anomaly Detection using Mixture Models.
Proceedings of the 22nd IEEE International Conference on Industrial Technology, 2021
Spatial image segmentation based on Beta-Liouville mixture models and Markov Random Field.
Proceedings of the 22nd IEEE International Conference on Industrial Technology, 2021
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021
Model Selection Criterion for Multivariate Bounded Asymmetric Gaussian Mixture Model.
Proceedings of the 29th European Signal Processing Conference, 2021
Proceedings of the Advanced Data Mining and Applications - 17th International Conference, 2021
Proceedings of the Intelligent Information and Database Systems - 13th Asian Conference, 2021
Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2021
Proceedings of the Intelligent Information and Database Systems - 13th Asian Conference, 2021
Entropy-Based Variational Learning of Finite Generalized Inverted Dirichlet Mixture Model.
Proceedings of the Intelligent Information and Database Systems - 13th Asian Conference, 2021
2020
Modeling and Clustering Positive Vectors via Nonparametric Mixture Models of Liouville Distributions.
IEEE Trans. Neural Networks Learn. Syst., 2020
IEEE Trans. Multim., 2020
Probabilistic Modeling for Frequency Vectors Using a Flexible Shifted-Scaled Dirichlet Distribution Prior.
ACM Trans. Knowl. Discov. Data, 2020
A Framework for Unsupervised Planning of Cellular Networks Using Statistical Machine Learning.
IEEE Trans. Commun., 2020
A new hybrid discriminative/generative model using the full-covariance multivariate generalized Gaussian mixture models.
Soft Comput., 2020
Soft Comput., 2020
Pattern Recognit., 2020
A novel approach for modeling positive vectors with inverted Dirichlet-based hidden Markov models.
Knowl. Based Syst., 2020
Sequentially spherical data modeling with hidden Markov models and its application to fMRI data analysis.
Knowl. Based Syst., 2020
Online Variational Learning of Dirichlet Process Mixtures of Scaled Dirichlet Distributions.
Inf. Syst. Frontiers, 2020
High-dimensional count data clustering based on an exponential approximation to the multinomial Beta-Liouville distribution.
Inf. Sci., 2020
Online variational learning of finite inverted Beta-Liouville mixture model for biomedical analysis.
Int. J. Imaging Syst. Technol., 2020
Bayesian inference framework for bounded generalized Gaussian-based mixture model and its application to biomedical images classification.
Int. J. Imaging Syst. Technol., 2020
Background subtraction using infinite asymmetric Gaussian mixture models with simultaneous feature selection.
IET Image Process., 2020
Multimodal action recognition using variational-based Beta-Liouville hidden Markov models.
IET Image Process., 2020
Eng. Appl. Artif. Intell., 2020
Spherical data clustering and feature selection through nonparametric Bayesian mixture models with von Mises distributions.
Eng. Appl. Artif. Intell., 2020
Digit. Signal Process., 2020
Proportional data modeling via selection and estimation of a finite mixture of scaled Dirichlet distributions.
Comput. Intell., 2020
Flexible Distribution-Based Regression Models for Count Data: Application to Medical Diagnosis.
Cybern. Syst., 2020
Cybern. Syst., 2020
Special issue on Bio-inspired optimization techniques for Biomedical Data Analysis: Methods and applications.
Appl. Soft Comput., 2020
Inverted Dirichlet and Related Distributions Based Feature Mapping for Data Classification.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Variational Inference of Infinite Generalized Gaussian Mixture Models with Feature Selection.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Maximum A Posteriori Approximation of Dirichlet and Beta-Liouville Hidden Markov Models for Proportional Sequential Data Modeling.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
A Hybrid Approach Based on SVM and Bernoulli Mixture Model for Binary Vectors Classification.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Proceedings of the 22nd IEEE International Workshop on Multimedia Signal Processing, 2020
Image Categorization Using Agglomerative Clustering Based Smoothed Dirichlet Mixtures.
Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020
Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020
Proceedings of the 2020 International Symposium on Networks, Computers and Communications, 2020
Proceedings of the 2020 International Symposium on Networks, Computers and Communications, 2020
Performance Evaluation of Geometric Area Analysis Technique for Anomaly Detection Using Trapezoidal Area Estimation.
Proceedings of the 2020 International Symposium on Networks, Computers and Communications, 2020
Recognition of human interactions in feature films based on infinite mixture of EDCM.
Proceedings of the 2020 International Symposium on Networks, Computers and Communications, 2020
Proceedings of the 2020 International Symposium on Networks, Computers and Communications, 2020
Proceedings of the IEEE International Symposium on Multimedia, 2020
A Distribution-based Regression for Real-time COVID-19 Cases Detection from Chest X-ray and CT Images.
Proceedings of the 21st International Conference on Information Reuse and Integration for Data Science, 2020
Background Subtraction with a Hierarchical Pitman-Yor Process Mixture Model of Generalized Gaussian Distributions.
Proceedings of the 21st International Conference on Information Reuse and Integration for Data Science, 2020
Proceedings of the 21st International Conference on Information Reuse and Integration for Data Science, 2020
Online Learning for Beta-Liouville Hidden Markov Models: Incremental Variational Learning for Video Surveillance and Action Recognition.
Proceedings of the IEEE International Conference on Image Processing, 2020
Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020
Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020
Efficient Statistical Learning Framework with Applications to Human Activity and Facial Expression Recognition.
Proceedings of the 5th International Conference on Advanced Technologies for Signal and Image Processing, 2020
Variational learning of a shifted scaled Dirichlet model with component splitting approach.
Proceedings of the Third International Conference on Artificial Intelligence for Industries, 2020
Proceedings of the Advances in Artificial Intelligence, 2020
Proceedings of the Advances in Artificial Intelligence, 2020
2019
Axially Symmetric Data Clustering Through Dirichlet Process Mixture Models of Watson Distributions.
IEEE Trans. Neural Networks Learn. Syst., 2019
Variational Bayesian Learning of Generalized Dirichlet-Based Hidden Markov Models Applied to Unusual Events Detection.
IEEE Trans. Neural Networks Learn. Syst., 2019
Bayesian inference by reversible jump MCMC for clustering based on finite generalized inverted Dirichlet mixtures.
Soft Comput., 2019
A Novel Scaled dirichlet-based statistical framework for count data modeling: Unsupervised learning and exponential approximation.
Pattern Recognit., 2019
Data-free metrics for Dirichlet and generalized Dirichlet mixture-based HMMs - A practical study.
Pattern Recognit., 2019
A nonparametric Bayesian learning model using accelerated variational inference and feature selection.
Pattern Anal. Appl., 2019
Unsupervised learning of finite full covariance multivariate generalized Gaussian mixture models for human activity recognition.
Multim. Tools Appl., 2019
Bayesian frameworks for traffic scenes monitoring via view-based 3D cars models recognition.
Multim. Tools Appl., 2019
Simultaneous clustering and feature selection via nonparametric Pitman-Yor process mixture models.
Int. J. Mach. Learn. Cybern., 2019
Mob. Inf. Syst., 2019
Variational-based latent generalized Dirichlet allocation model in the collapsed space and applications.
Neurocomputing, 2019
A novel statistical approach for clustering positive data based on finite inverted Beta-Liouville mixture models.
Neurocomputing, 2019
Hybrid generative discriminative approaches based on Multinomial Scaled Dirichlet mixture models.
Appl. Intell., 2019
Model selection and application to high-dimensional count data clustering - via finite EDCM mixture models.
Appl. Intell., 2019
Nonparametric Hierarchical Bayesian Models for Positive Data Clustering Based on Inverted Dirichlet-Based Distributions.
IEEE Access, 2019
Deriving Probabilistic SVM Kernels From Flexible Statistical Mixture Models and its Application to Retinal Images Classification.
IEEE Access, 2019
Computer Vision System for Automatic Counting of Planting Microsites Using UAV Imagery.
IEEE Access, 2019
Estimating Occupancy Using Interactive Learning With a Sensor Environment: Real-Time Experiments.
IEEE Access, 2019
Network Anomaly Intrusion Detection Using a Nonparametric Bayesian Approach and Feature Selection.
IEEE Access, 2019
Unsupervised Image Categorization Based on Variational Autoencoder and Student's-T Mixture Model.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Efficient Computation of Log-likelihood Function in Clustering Overdispersed Count Data Using Multinomial Beta-Liouville Distribution.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
A Statistical Process Control Chart Approach for Occupancy Estimation in Smart Buildings.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Hybrid Generative-Discriminative Generalized Dirichlet-Based Hidden Markov Models with Support Vector Machines.
Proceedings of the IEEE International Symposium on Multimedia, 2019
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019
Data Clustering using Variational Learning of Finite Scaled Dirichlet Mixture Models.
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019
Variational Learning for Finite Generalized Inverted Dirichlet Mixture Models with a Component Splitting Approach.
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019
Color Image Segmentation Using Generalized Inverted Dirichlet Finite Mixture Models By Integrating Spatial Information.
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019
A Statistical Approach for Unsupervised Occupancy Detection and Estimation in Smart Buildings.
Proceedings of the 2019 IEEE International Smart Cities Conference, 2019
Data Clustering Using Online Variational Learning of Finite Scaled Dirichlet Mixture Models.
Proceedings of the 20th IEEE International Conference on Information Reuse and Integration for Data Science, 2019
Proceedings of the 20th IEEE International Conference on Information Reuse and Integration for Data Science, 2019
Texture Image Categorization in Wavelet Domain via Naive Bayes Classifier Based on Laplace and Generalized Gaussian Distribution.
Proceedings of the 20th IEEE International Conference on Information Reuse and Integration for Data Science, 2019
Bayesian Learning of Infinite Asymmetric Gaussian Mixture Models for Background Subtraction.
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019
Data Clustering Using Variational Learning of Finite Scaled Dirichlet Mixture Models with Component Splitting.
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019
Unsupervised Variational Learning of Finite Generalized Inverted Dirichlet Mixture Models with Feature Selection and Component Splitting.
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019
A Probabilistic Approach based on a Finite Mixture Model of Multivariate Beta Distributions.
Proceedings of the 21st International Conference on Enterprise Information Systems, 2019
Generalized Dirichlet Regression and other Compositional Models with Application to Market-share Data Mining of Information Technology Companies.
Proceedings of the 21st International Conference on Enterprise Information Systems, 2019
An Accurate Evaluation of MSD Log-likelihood and its Application in Human Action Recognition.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019
Dynamic Texture Recognition using a Hybrid Generative-Discriminative Approach with Hidden Markov Models and Support Vector Machines.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019
Variational Learning of Beta-Liouville Hidden Markov Models for Infrared Action Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
Proceedings of the 6th International Conference on Control, 2019
Proceedings of the 6th International Conference on Control, 2019
2018
A fast clustering algorithm based on pruning unnecessary distance computations in DBSCAN for high-dimensional data.
Pattern Recognit., 2018
A Novel Model-Based Approach for Medical Image Segmentation Using Spatially Constrained Inverted Dirichlet Mixture Models.
Neural Process. Lett., 2018
Image and video denoising by combining unsupervised bounded generalized gaussian mixture modeling and spatial information.
Multim. Tools Appl., 2018
Int. J. Intell. Eng. Informatics, 2018
IET Image Process., 2018
Proceedings of the IEEE 61st International Midwest Symposium on Circuits and Systems, 2018
Blind Source Separation as Pre-processing to Unsupervised Keyword Spotting via an ICA Mixture Model.
Proceedings of the IEEE 61st International Midwest Symposium on Circuits and Systems, 2018
Proceedings of the IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2018
Infinite Scaled Dirichlet Mixture Models for Spam Filtering via Bayesian and Variational Bayes Learning.
Proceedings of the IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2018
Proceedings of the 9th International Symposium on Signal, Image, Video and Communications, 2018
Proceedings of the 9th International Symposium on Signal, Image, Video and Communications, 2018
A Novel Approach for Anomaly Event Detection in Videos Based on Autoencoders and SE Networks.
Proceedings of the 9th International Symposium on Signal, Image, Video and Communications, 2018
Proceedings of the 2018 IEEE International Conference on Information Reuse and Integration, 2018
Proceedings of the 2018 IEEE International Conference on Information Reuse and Integration, 2018
Proceedings of the Recent Trends and Future Technology in Applied Intelligence, 2018
Proceedings of the Recent Trends and Future Technology in Applied Intelligence, 2018
EP-Based Infinite Inverted Dirichlet Mixture Learning: Application to Image Spam Detection.
Proceedings of the Recent Trends and Future Technology in Applied Intelligence, 2018
Asymmetric Gaussian-Based Statistical Models Using Markov Chain Monte Carlo Techniques for Image Categorization.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
Bounded Laplace Mixture Model with Applications to Image Clustering and Content Based Image Retrieval.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
Spatially Constrained Mixture Model with Feature Selection for Image and Video Segmentation.
Proceedings of the Image and Signal Processing - 8th International Conference, 2018
Proceedings of the Image and Signal Processing - 8th International Conference, 2018
Unsupervised Human Action Categorization Using a Riemannian Averaged Fixed-Point Learning of Multivariate GGMM.
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018
Proceedings of the IEEE International Conference on Data Mining, 2018
Proceedings of the 2018 International Conference on Cyber Security and Protection of Digital Services, 2018
Proceedings of the 2018 IEEE Canadian Conference on Electrical & Computer Engineering, 2018
A Fixed-Point Estimation Algorithm for Learning the Multivariate GGMM: Application to Human Action Recognition.
Proceedings of the 2018 IEEE Canadian Conference on Electrical & Computer Engineering, 2018
Proceedings of the 2018 IEEE Canadian Conference on Electrical & Computer Engineering, 2018
Proceedings of the 2018 IEEE International Black Sea Conference on Communications and Networking, 2018
Color image segmentation with bounded generalized Gaussian mixture model and feature selection.
Proceedings of the 4th International Conference on Advanced Technologies for Signal and Image Processing, 2018
Proceedings of the First International Conference on Artificial Intelligence for Industries, 2018
Predicting Defect-Prone Software Modules Using Shifted-Scaled Dirichlet Distribution.
Proceedings of the First International Conference on Artificial Intelligence for Industries, 2018
Proceedings of the Advances in Artificial Intelligence, 2018
2017
Online Learning of Hierarchical Pitman-Yor Process Mixture of Generalized Dirichlet Distributions With Feature Selection.
IEEE Trans. Neural Networks Learn. Syst., 2017
Proportional data modeling via entropy-based variational bayes learning of mixture models.
Appl. Intell., 2017
Proceedings of the IEEE 60th International Midwest Symposium on Circuits and Systems, 2017
Proceedings of the Seventh International Conference on Image Processing Theory, 2017
Proportional data clustering using K-means algorithm: A comparison of different distances.
Proceedings of the IEEE International Conference on Industrial Technology, 2017
Unsupervised learning of finite mixtures using scaled dirichlet distribution and its application to software modules categorization.
Proceedings of the IEEE International Conference on Industrial Technology, 2017
FRS: Fast Range Search by Pruning Unnecessary Distance Computations Based on K-D Tree.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017
Dirichlet Mixture Matching Projection for supervised linear dimensionality reduction of proportional data.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
A hierarchical Dirichlet process mixture of GID Distributions with feature selection for spatio-temporal video modeling and segmentation.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017
Proceedings of the 14th IEEE/ACS International Conference on Computer Systems and Applications, 2017
Proceedings of the 14th IEEE/ACS International Conference on Computer Systems and Applications, 2017
Proceedings of the Emerging Technologies for Developing Countries, 2017
2016
IEEE Trans. Serv. Comput., 2016
Variational learning of hierarchical infinite generalized Dirichlet mixture models and applications.
Soft Comput., 2016
Proportional data modeling with hidden Markov models based on generalized Dirichlet and Beta-Liouville mixtures applied to anomaly detection in public areas.
Pattern Recognit., 2016
Model-Based Clustering Based on Variational Learning of Hierarchical Infinite Beta-Liouville Mixture Models.
Neural Process. Lett., 2016
A statistical framework for online learning using adjustable model selection criteria.
Eng. Appl. Artif. Intell., 2016
Appl. Soft Comput., 2016
Variational Bayesian inference for infinite generalized inverted Dirichlet mixtures with feature selection and its application to clustering.
Appl. Intell., 2016
Generalized dirichlet mixture matching projection for supervised linear dimensionality reduction of proportional data.
Proceedings of the 18th IEEE International Workshop on Multimedia Signal Processing, 2016
A Nonparametric Hierarchical Bayesian Model and Its Application on Multimodal Person Identity Verification.
Proceedings of the Advances in Visual Computing - 12th International Symposium, 2016
Proceedings of the Advances in Visual Computing - 12th International Symposium, 2016
A novel 3D model recognition approach using Pitman-Yor process mixtures of Beta-Liouville Distributions.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016
Proceedings of the 5th International Conference on Multimedia Computing and Systems, 2016
Speaker Classification via Supervised Hierarchical Clustering Using ICA Mixture Model.
Proceedings of the Image and Signal Processing - 7th International Conference, 2016
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016
Accelerated variational inference for Beta-Liouville mixture learning with application to 3D shapes recognition.
Proceedings of the International Conference on Control, 2016
Proceedings of the International Conference on Control, 2016
2015
Proceedings of the Artificial Intelligence Applications in Information and Communication Technologies, 2015
Proceedings of the Artificial Intelligence Applications in Information and Communication Technologies, 2015
Proceedings of the Artificial Intelligence Applications in Information and Communication Technologies, 2015
Image and video spatial super-resolution via bandlet-based sparsity regularization and structure tensor.
Signal Process. Image Commun., 2015
A hierarchical nonparametric Bayesian approach for medical images and gene expressions classification.
Soft Comput., 2015
Pattern Anal. Appl., 2015
Face detection and facial expression recognition using simultaneous clustering and feature selection via an expectation propagation statistical learning framework.
Multim. Tools Appl., 2015
Semisupervised online learning of hierarchical structures for visual object classification.
Multim. Tools Appl., 2015
Simultaneous high-dimensional clustering and feature selection using asymmetric Gaussian mixture models.
Image Vis. Comput., 2015
Expectation propagation learning of a Dirichlet process mixture of Beta-Liouville distributions for proportional data clustering.
Eng. Appl. Artif. Intell., 2015
Model-based approach for high-dimensional non-Gaussian visual data clustering and feature weighting.
Digit. Signal Process., 2015
A hierarchical Dirichlet process mixture of generalized Dirichlet distributions for feature selection.
Comput. Electr. Eng., 2015
Modeling and Forecasting Time Series of Compositional Data: A Generalized Dirichlet Power Steady Model.
Proceedings of the Scalable Uncertainty Management - 9th International Conference, 2015
Hybrid hidden Markov model for mixed continuous/continuous and discrete/continuous data modeling.
Proceedings of the 17th IEEE International Workshop on Multimedia Signal Processing, 2015
Human Action Recognition Using Accelerated Variational Learning of Infinite Dirichlet Mixture Models.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
Topic Novelty Detection Using Infinite Variational Inverted Dirichlet Mixture Models.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
Dynamic textures clustering using a hierarchical Pitman-Yor process mixture of Dirichlet distributions.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
Dimensionality Reduction of Proportional Data Through Data Separation Using Dirichlet Distribution.
Proceedings of the Image Analysis and Recognition - 12th International Conference, 2015
Proceedings of the Image Analysis and Recognition - 12th International Conference, 2015
3D object modeling and recognition via online hierarchical Pitman-yor process mixture learning.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015
Unsupervised keyword spotting using bounded generalized Gaussian mixture model with ICA.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015
2014
Online redundant image elimination and its application to wireless capsule endoscopy.
Signal Image Video Process., 2014
Non-Gaussian Data Clustering via Expectation Propagation Learning of Finite Dirichlet Mixture Models and Applications.
Neural Process. Lett., 2014
Background subtraction using finite mixtures of asymmetric Gaussian distributions and shadow detection.
Mach. Vis. Appl., 2014
Variational learning for Dirichlet process mixtures of Dirichlet distributions and applications.
Multim. Tools Appl., 2014
Robust simultaneous positive data clustering and unsupervised feature selection using generalized inverted Dirichlet mixture models.
Knowl. Based Syst., 2014
J. Vis. Commun. Image Represent., 2014
Four-neighborhood clique kernel: A general framework for Bayesian and variational techniques of noise reduction in magnetic resonance images of the brain.
Int. J. Imaging Syst. Technol., 2014
Neurocomputing, 2014
Online variational learning of generalized Dirichlet mixture models with feature selection.
Neurocomputing, 2014
Pre-run-time scheduling in real-time systems: Current researches and Artificial Intelligence perspectives.
Expert Syst. Appl., 2014
Bayesian learning of finite generalized inverted Dirichlet mixtures: Application to object classification and forgery detection.
Expert Syst. Appl., 2014
Object clustering and recognition using multi-finite mixtures for semantic classes and hierarchy modeling.
Expert Syst. Appl., 2014
Eng. Appl. Artif. Intell., 2014
Probabilistic approach for QoS-aware recommender system for trustworthy web service selection.
Appl. Intell., 2014
An Infinite Mixture Model of Generalized Inverted Dirichlet Distributions for High-Dimensional Positive Data Modeling.
Proceedings of the Information and Communication Technology, 2014
Proceedings of the Information and Communication Technology, 2014
Proceedings of the Progress in Systems Engineering, 2014
Proceedings of the Adaptive and Intelligent Systems - Third International Conference, 2014
Proceedings of the Adaptive and Intelligent Systems - Third International Conference, 2014
Classifying Textures with Only 10 Visual-Words Using Hidden Markov Models with Dirichlet Mixtures.
Proceedings of the Adaptive and Intelligent Systems - Third International Conference, 2014
A Novel Method for Scene Categorization Using an Improved Visual Vocabulary Approach.
Proceedings of the Adaptive and Intelligent Systems - Third International Conference, 2014
Online Data Clustering Using Variational Learning of a Hierarchical Dirichlet Process Mixture of Dirichlet Distributions.
Proceedings of the Database Systems for Advanced Applications, 2014
Proceedings of the Canadian Conference on Computer and Robot Vision, 2014
Improving codebook generation for action recognition using a mixture of Asymmetric Gaussians.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Multimedia, 2014
A model-based discriminative framework for sets of positive vectors classification: Application to object categorization.
Proceedings of the 2014 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2014
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014
Hidden Markov Models Based on Generalized Dirichlet Mixtures for Proportional Data Modeling.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2014
Proceedings of the Agents and Data Mining Interaction - 10th International Workshop, 2014
2013
Online Learning of a Dirichlet Process Mixture of Beta-Liouville Distributions Via Variational Inference.
IEEE Trans. Neural Networks Learn. Syst., 2013
Unsupervised Hybrid Feature Extraction Selection for High-Dimensional Non-Gaussian Data Clustering with Variational Inference.
IEEE Trans. Knowl. Data Eng., 2013
IEEE Trans. Image Process., 2013
Simultaneous Bayesian clustering and feature selection using RJMCMC-based learning of finite generalized Dirichlet mixture models.
Signal Process., 2013
Variational learning of a Dirichlet process of generalized Dirichlet distributions for simultaneous clustering and feature selection.
Pattern Recognit., 2013
On the smoothing of multinomial estimates using Liouville mixture models and applications.
Pattern Anal. Appl., 2013
Neural Comput. Appl., 2013
Inf. Process. Manag., 2013
The clique potential of Markov random field in a random experiment for estimation of noise levels in 2D brain MRI.
Int. J. Imaging Syst. Technol., 2013
Eng. Appl. Artif. Intell., 2013
Finite asymmetric generalized Gaussian mixture models learning for infrared object detection.
Comput. Vis. Image Underst., 2013
Adv. Data Anal. Classif., 2013
A Hierarchical Statistical Framework for the Extraction of Semantically Related Words in Textual Documents.
Proceedings of the Rough Sets and Knowledge Technology - 8th International Conference, 2013
Anomaly Intrusion Detection Using Incremental Learning of an Infinite Mixture Model with Feature Selection.
Proceedings of the Rough Sets and Knowledge Technology - 8th International Conference, 2013
Unsupervised feature selection for proportional data clustering via expectation propagation.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Variational learning of finite Beta-Liouville mixture models using component splitting.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Expectation propagation learning of finite Beta-Liouville mixtures for spatio-temporal object recognition.
Proceedings of the 2nd Workshop on Machine Learning for Interactive Systems, 2013
Visual Scenes Clustering Using Variational Incremental Learning of Infinite Generalized Dirichlet Mixture Models.
Proceedings of the 3rd Workshop on Ubiquitous Data Mining co-located with the 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), 2013
Learning Finite Beta-Liouville Mixture Models via Variational Bayes for Proportional Data Clustering.
Proceedings of the IJCAI 2013, 2013
A QoS-Based Trust Approach for Service Selection and Composition via Bayesian Networks.
Proceedings of the 2013 IEEE 20th International Conference on Web Services, Santa Clara, CA, USA, June 28, 2013
Visual Scenes Categorization Using a Flexible Hierarchical Mixture Model Supporting Users Ontology.
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013
A statistical framework for positive data clustering with feature selection: Application to object detection.
Proceedings of the 21st European Signal Processing Conference, 2013
Spatio-temporal object recognition using variational learning of an infinite statistical model.
Proceedings of the 21st European Signal Processing Conference, 2013
Proceedings of the 21st European Signal Processing Conference, 2013
Proceedings of the Sixth International Conference on Developments in eSystems Engineering, 2013
Proceedings of the Tenth Conference on Computer and Robot Vision, 2013
2012
IEEE Trans. Neural Networks Learn. Syst., 2012
Hybrid Generative/Discriminative Approaches for Proportional Data Modeling and Classification.
IEEE Trans. Knowl. Data Eng., 2012
Infinite Liouville mixture models with application to text and texture categorization.
Pattern Recognit. Lett., 2012
Knowl. Inf. Syst., 2012
Generalized Gaussian mixture models as a nonparametric Bayesian approach for clustering using class-specific visual features.
J. Vis. Commun. Image Represent., 2012
Online Learning of a Dirichlet Process Mixture of Generalized Dirichlet Distributions for Simultaneous Clustering and Localized Feature Selection.
Proceedings of the 4th Asian Conference on Machine Learning, 2012
Expert Syst. Appl., 2012
A fully Bayesian model based on reversible jump MCMC and finite Beta mixtures for clustering.
Expert Syst. Appl., 2012
A finite mixture model for simultaneous high-dimensional clustering, localized feature selection and outlier rejection.
Expert Syst. Appl., 2012
Expert Syst. Appl., 2012
Proceedings of the 13th International Workshop on Image Analysis for Multimedia Interactive Services, 2012
Face Detection and Facial Expression Recognition Using a Novel Variational Statistical Framework.
Proceedings of the Multimedia Communications, Services and Security, 2012
Unsupervised Feature Selection for Spherical Data Modeling: Application to Image-Based Spam Filtering.
Proceedings of the Multimedia Communications, Services and Security, 2012
Proceedings of the 11th International Conference on Information Science, 2012
Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012
Content-based spam filtering using hybrid generative discriminative learning of both textual and visual features.
Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012
Proceedings of the 2012 IEEE 19th International Conference on Web Services, 2012
Nonparametric Localized Feature Selection via a Dirichlet Process Mixture of Generalized Dirichlet Distributions.
Proceedings of the Neural Information Processing - 19th International Conference, 2012
A Novel Hierarchical Statistical Model for Count Data Modeling and Its Application in Image Classification.
Proceedings of the Neural Information Processing - 19th International Conference, 2012
Online Variational Learning for a Dirichlet Process Mixture of Dirichlet Distributions and its Application.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
A variational component splitting approach for finite generalized Dirichlet mixture models.
Proceedings of the International Conference on Communications and Information Technology, 2012
Proceedings of the British Machine Vision Conference, 2012
Variational Learning of Dirichlet Process Mixtures of Generalized Dirichlet Distributions and Its Applications.
Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012
2011
IEEE Trans. Neural Networks, 2011
Signal Process., 2011
Bayesian hybrid generative discriminative learning based on finite Liouville mixture models.
Pattern Recognit., 2011
Expert Syst. Appl., 2011
Expert Syst. Appl., 2011
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 2011
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 2011
Proceedings of the Pattern Recognition and Machine Intelligence, 2011
Count Data Clustering Using Unsupervised Localized Feature Selection and Outliers Rejection.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011
An Expandable Hierarchical Statistical Framework for Count Data Modeling and Its Application to Object Classification.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011
Proceedings of the Neural Information Processing - 18th International Conference, 2011
Proceedings of the Neural Information Processing - 18th International Conference, 2011
Proceedings of the Neural Information Processing - 18th International Conference, 2011
Proceedings of the Neural Information Processing - 18th International Conference, 2011
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011
Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, 2011
Proceedings of the Image Analysis and Recognition - 8th International Conference, 2011
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
A nonparametric Bayesian approach for enhanced pedestrian detection and foreground segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2011
2010
A Dirichlet process mixture of generalized Dirichlet distributions for proportional data modeling.
IEEE Trans. Neural Networks, 2010
Image and Video Segmentation by Combining Unsupervised Generalized Gaussian Mixture Modeling and Feature Selection.
IEEE Trans. Circuits Syst. Video Technol., 2010
Discrete visual features modeling via leave-one-out likelihood estimation and applications.
J. Vis. Commun. Image Represent., 2010
Expert Syst. Appl., 2010
An optimal bivariate Poisson field chart for controlling high-quality manufacturing processes.
Expert Syst. Appl., 2010
Comput. Stat. Data Anal., 2010
Proceedings of the 2010 IEEE International Workshop on Multimedia Signal Processing, 2010
Proceedings of the Canadian Conference on Computer and Robot Vision, 2010
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2010
2009
A Model-Based Approach for Discrete Data Clustering and Feature Weighting Using MAP and Stochastic Complexity.
IEEE Trans. Knowl. Data Eng., 2009
A Hybrid Feature Extraction Selection Approach for High-Dimensional Non-Gaussian Data Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2009
On Bayesian analysis of a finite generalized Dirichlet mixture via a Metropolis-within-Gibbs sampling.
Pattern Anal. Appl., 2009
A discrete mixture-based kernel for SVMs: Application to spam and image categorization.
Inf. Process. Manag., 2009
On Video Textures Generation: A Comparison Between Different Dimensionality Reduction Techniques.
Proceedings of the IEEE International Conference on Systems, 2009
A Nonparametric Bayesian Learning Model: Application to Text and Image Categorization.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009
Proceedings of the 2009 IEEE International Workshop on Multimedia Signal Processing, 2009
Proceedings of the Advances in Visual Computing, 5th International Symposium, 2009
Proceedings of the 14th IEEE Symposium on Computers and Communications (ISCC 2009), 2009
Proceedings of the Progress in Pattern Recognition, 2009
Proceedings of the Progress in Pattern Recognition, 2009
Proceedings of the 22nd Canadian Conference on Electrical and Computer Engineering, 2009
2008
IEEE Trans. Knowl. Data Eng., 2008
Finite general Gaussian mixture modeling and application to image and video foreground segmentation.
J. Electronic Imaging, 2008
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008
Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008
Proceedings of the International Conference on Image Processing, 2008
Proceedings of the IEEE International Conference on Acoustics, 2008
Proceedings of the Artificial Neural Networks, 2008
2007
High-Dimensional Unsupervised Selection and Estimation of a Finite Generalized Dirichlet Mixture Model Based on Minimum Message Length.
IEEE Trans. Pattern Anal. Mach. Intell., 2007
Unsupervised learning of a finite discrete mixture: Applications to texture modeling and image databases summarization.
J. Vis. Commun. Image Represent., 2007
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007
Unsupervised Feature Selection for Accurate Recommendation of High-Dimensional Image Data.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Proceedings of the Image Analysis and Recognition, 4th International Conference, 2007
Proceedings of the IEEE International Conference on Acoustics, 2007
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007
A Robust Video Foreground Segmentation by Using Generalized Gaussian Mixture Modeling.
Proceedings of the Fourth Canadian Conference on Computer and Robot Vision (CRV 2007), 2007
Finite Generalized Gaussian Mixture Modeling and Applications to Image and Video Foreground Segmentation.
Proceedings of the Fourth Canadian Conference on Computer and Robot Vision (CRV 2007), 2007
2006
IEEE Trans. Knowl. Data Eng., 2006
A hybrid SEM algorithm for high-dimensional unsupervised learning using a finite generalized Dirichlet mixture.
IEEE Trans. Image Process., 2006
Practical Bayesian estimation of a finite beta mixture through gibbs sampling and its applications.
Stat. Comput., 2006
Eng. Appl. Artif. Intell., 2006
2005
Using unsupervised learning of a finite Dirichlet mixture model to improve pattern recognition applications.
Pattern Recognit. Lett., 2005
A New Approach for High-Dimensional Unsupervised Learning: Applications to Image Restoration.
Proceedings of the Pattern Recognition and Machine Intelligence, 2005
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005
Proceedings of the 2005 International Conference on Image Processing, 2005
Proceedings of the Pattern Recognition and Data Mining, 2005
MML-Based Approach for High-Dimensional Unsupervised Learning Using the Generalized Dirichlet Mixture.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2005
2004
Unsupervised learning of a finite mixture model based on the Dirichlet distribution and its application.
IEEE Trans. Image Process., 2004
Unsupervised Learning of a Finite Discrete Mixture Model Based on the Multinomial Dirichlet Distribution: Application to Texture Modeling.
Proceedings of the Pattern Recognition in Information Systems, 2004
Unsupervised Learning of a Finite Gamma Mixture Using MML: Application to SAR Image Analysis.
Proceedings of the 17th International Conference on Pattern Recognition, 2004
A Powreful Finite Mixture Model Based on the Generalized Dirichlet Distribution: Unsupervised Learning and Applications.
Proceedings of the 17th International Conference on Pattern Recognition, 2004
Dirichlet-based probability model applied to human skin detection [image skin detection].
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004
2003
Novel Mixtures Based on the Dirichlet Distribution: Application to Data and Image Classification.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2003