Dit-Yan Yeung

Affiliations:
  • Hong Kong University of Science and Technology


According to our database1, Dit-Yan Yeung authored at least 191 papers between 1987 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving.
CoRR, 2021

Stereo Waterdrop Removal with Row-wise Dilated Attention.
CoRR, 2021

Clickstream Knowledge Tracing: Modeling How Students Answer Interactive Online Questions.
Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 2021

MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space.
Proceedings of the 9th International Conference on Learning Representations, 2021

Probing Toxic Content in Large Pre-Trained Language Models.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
A Survey on Bayesian Deep Learning.
ACM Comput. Surv., 2020

Comparative Evaluation of Label-Agnostic Selection Bias in Multilingual Hate Speech Datasets.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Knowledge Query Network: How Knowledge Interacts with Skills.
CoRR, 2019

Movable-Object-Aware Visual SLAM via Weakly Supervised Semantic Segmentation.
CoRR, 2019

Fully Using Classifiers for Weakly Supervised Semantic Segmentation with Modified Cues.
CoRR, 2019

Incorporating Features Learned by an Enhanced Deep Knowledge Tracing Model for STEM/Non-STEM Job Prediction.
Int. J. Artif. Intell. Educ., 2019

Knowledge Query Network for Knowledge Tracing: How Knowledge Interacts with Skills.
Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 2019

Effective Feature Learning with Unsupervised Learning for Improving the Predictive Models in Massive Open Online Courses.
Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 2019

Semi-semantic Line-Cluster Assisted Monocular SLAM for Indoor Environments.
Proceedings of the Computer Vision Systems, 12th International Conference, 2019

Marginalized Average Attentional Network for Weakly-Supervised Learning.
Proceedings of the 7th International Conference on Learning Representations, 2019

Multilingual and Multi-Aspect Hate Speech Analysis.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
Coupled Recurrent Network (CRN).
CoRR, 2018

Semi-Semantic Line-Cluster Assisted Monocular SLAM for Indoor Environments.
CoRR, 2018

Point-cloud-based place recognition using CNN feature extraction.
CoRR, 2018

Machine Learning for Spatiotemporal Sequence Forecasting: A Survey.
CoRR, 2018

Incorporating Features Learned by an Enhanced Deep Knowledge Tracing Model for STEM/Non-STEM Job Prediction.
CoRR, 2018

GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Addressing two problems in deep knowledge tracing via prediction-consistent regularization.
Proceedings of the Fifth Annual ACM Conference on Learning at Scale, 2018

Learning Accurate Objectness Instance Segmentation from Photorealistic Rendering for Robotic Manipulation.
Proceedings of the 2018 International Symposium on Experimental Robotics, 2018

Learning Unmanned Aerial Vehicle Control for Autonomous Target Following.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Fine-grained categorization via CNN-based automatic extraction and integration of object-level and part-level features.
Image Vis. Comput., 2017

ZM-Net: Real-time Zero-shot Image Manipulation Network.
CoRR, 2017

Dynamic Key-Value Memory Networks for Knowledge Tracing.
Proceedings of the 26th International Conference on World Wide Web, 2017

Keynote: Bayesian Deep Learning Models for Recommendation Applications.
Proceedings of the 2nd Workshop on Deep Learning for Recommender Systems, 2017

Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Gesture-based piloting of an aerial robot using monocular vision.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Temporal Dynamic Graph LSTM for Action-Driven Video Object Detection.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Spatiotemporal Modeling for Crowd Counting in Videos.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Lattice Long Short-Term Memory for Human Action Recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Visual Object Tracking for Unmanned Aerial Vehicles: A Benchmark and New Motion Models.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Relational Deep Learning: A Deep Latent Variable Model for Link Prediction.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Towards Bayesian Deep Learning: A Framework and Some Existing Methods.
IEEE Trans. Knowl. Data Eng., 2016

Spectral Multimodal Hashing and Its Application to Multimedia Retrieval.
IEEE Trans. Cybern., 2016

Dynamic Key-Value Memory Network for Knowledge Tracing.
CoRR, 2016

Towards Bayesian Deep Learning: A Survey.
CoRR, 2016

Natural-Parameter Networks: A Class of Probabilistic Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

The Visual Object Tracking VOT2016 Challenge Results.
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Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

2015
Instance-specific canonical correlation analysis.
Neurocomputing, 2015

Transferring Rich Feature Hierarchies for Robust Visual Tracking.
CoRR, 2015

Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Collaborative Deep Learning for Recommender Systems.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Temporal Models for Predicting Student Dropout in Massive Open Online Courses.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Understanding and Diagnosing Visual Tracking Systems.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Human Action Recognition Using Factorized Spatio-Temporal Convolutional Networks.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

DevNet: A Deep Event Network for multimedia event detection and evidence recounting.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Bayesian adaptive matrix factorization with automatic model selection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Relational Stacked Denoising Autoencoder for Tag Recommendation.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Probabilistic Graphical Models for Boosting Cardinal and Ordinal Peer Grading in MOOCs.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Multicategory large margin classification methods: Hinge losses vs. coherence functions.
Artif. Intell., 2014

Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
A Regularization Approach to Learning Task Relationships in Multitask Learning.
ACM Trans. Knowl. Discov. Data, 2013

Multilabel relationship learning.
ACM Trans. Knowl. Discov. Data, 2013

Active hashing and its application to image and text retrieval.
Data Min. Knowl. Discov., 2013

Learning a Deep Compact Image Representation for Visual Tracking.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Learning High-Order Task Relationships in Multi-Task Learning.
Proceedings of the IJCAI 2013, 2013

SCMF: Sparse Covariance Matrix Factorization for Collaborative Filtering.
Proceedings of the IJCAI 2013, 2013

Bayesian Robust Matrix Factorization for Image and Video Processing.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Online Robust Non-negative Dictionary Learning for Visual Tracking.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
Solution Path for Manifold Regularized Semisupervised Classification.
IEEE Trans. Syst. Man Cybern. Part B, 2012

Transfer Metric Learning with Semi-Supervised Extension.
ACM Trans. Intell. Syst. Technol., 2012

Multi-Task Boosting by Exploiting Task Relationships.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Co-Regularized Hashing for Multimodal Data.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

A probabilistic model for multimodal hash function learning.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Overlapping community detection via bounded nonnegative matrix tri-factorization.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

A Probabilistic Approach to Robust Matrix Factorization.
Proceedings of the Computer Vision - ECCV 2012, 2012

Supervised Probabilistic Robust Embedding with Sparse Noise.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

Sparse Probabilistic Relational Projection.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Semisupervised Generalized Discriminant Analysis.
IEEE Trans. Neural Networks, 2011

Discriminative Experimental Design.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Generalized Latent Factor Models for Social Network Analysis.
Proceedings of the IJCAI 2011, 2011

A Convex Formulation of Modularity Maximization for Community Detection.
Proceedings of the IJCAI 2011, 2011

Multi-Task Learning in Heterogeneous Feature Spaces.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Social Relations Model for Collaborative Filtering.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
MILD: Multiple-Instance Learning via Disambiguation.
IEEE Trans. Knowl. Data Eng., 2010

A regularization framework for multiclass classification: A deterministic annealing approach.
Pattern Recognit., 2010

Multi-Task Learning using Generalized t Process.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

A Convex Formulation for Learning Task Relationships in Multi-Task Learning.
Proceedings of the UAI 2010, 2010

Multi-Domain Collaborative Filtering.
Proceedings of the UAI 2010, 2010

SED: supervised experimental design and its application to text classification.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Probabilistic Multi-Task Feature Selection.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Worst-Case Linear Discriminant Analysis.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Transfer metric learning by learning task relationships.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Multi-task warped Gaussian process for personalized age estimation.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Gaussian Process Latent Random Field.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

Transductive Learning on Adaptive Graphs.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

Adaptive Transfer Learning.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Coherence Functions for Multicategory Margin-based Classification Methods.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Latent Wishart Processes for Relational Kernel Learning.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

TagiCoFi: tag informed collaborative filtering.
Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

Semi-Supervised Multi-Task Regression.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Heteroscedastic Probabilistic Linear Discriminant Analysis with Semi-supervised Extension.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Probabilistic Relational PCA.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Relation Regularized Matrix Factorization.
Proceedings of the IJCAI 2009, 2009

Localized content-based image retrieval through evidence region identification.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
A New Solution Path Algorithm in Support Vector Regression.
IEEE Trans. Neural Networks, 2008

Robust path-based spectral clustering.
Pattern Recognit., 2008

A Scalable Kernel-Based Semisupervised Metric Learning Algorithm with Out-of-Sample Generalization Ability.
Neural Comput., 2008

Semi-supervised Discriminant Analysis Via CCCP.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Posterior Consistency of the Silverman g-prior in Bayesian Model Choice.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Structuring Visual Words in 3D for Arbitrary-View Object Localization.
Proceedings of the Computer Vision, 2008

Learning Two-View Stereo Matching.
Proceedings of the Computer Vision, 2008

Semi-Supervised Discriminant Analysis using robust path-based similarity.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Human action recognition using Local Spatio-Temporal Discriminant Embedding.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
A Kernel Approach for Semisupervised Metric Learning.
IEEE Trans. Neural Networks, 2007

Learning the kernel matrix by maximizing a KFD-based class separability criterion.
Pattern Recognit., 2007

Face recognition using a kernel fractional-step discriminant analysis algorithm.
Pattern Recognit., 2007

Surrogate maximization/minimization algorithms and extensions.
Mach. Learn., 2007

The Kernel Path in Kernelized LASSO.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Kernel-based distance metric learning for content-based image retrieval.
Image Vis. Comput., 2007

Semi-supervised Cast Indexing for Feature-Length Films.
Proceedings of the Advances in Multimedia Modeling, 2007

A Scalable Kernel-Based Algorithm for Semi-Supervised Metric Learning.
Proceedings of the IJCAI 2007, 2007

Boosting Kernel Discriminant Analysis and Its Application on Tissue Classification of Gene Expression Data.
Proceedings of the IJCAI 2007, 2007

A kernel path algorithm for support vector machines.
Proceedings of the Machine Learning, 2007

Kernel selection forl semi-supervised kernel machines.
Proceedings of the Machine Learning, 2007

Locally Smooth Metric Learning with Application to Image Retrieval.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Image Hallucination Using Neighbor Embedding over Visual Primitive Manifolds.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Throttling spoofed SYN flooding traffic at the source.
Telecommun. Syst., 2006

Extending the relevant component analysis algorithm for metric learning using both positive and negative equivalence constraints.
Pattern Recognit., 2006

Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval.
Pattern Recognit., 2006

Locally linear metric adaptation with application to semi-supervised clustering and image retrieval.
Pattern Recognit., 2006

Robust locally linear embedding.
Pattern Recognit., 2006

Model-based transductive learning of the kernel matrix.
Mach. Learn., 2006

Intrusion Detection Routers: Design, Implementation and Evaluation Using an Experimental Testbed.
IEEE J. Sel. Areas Commun., 2006

Defending Against TCP SYN Flooding Attacks Under Different Types of IP Spoofing.
Proceedings of the Fifth International Conference on Networking and the International Conference on Systems (ICN / ICONS / MCL 2006), 2006

Two-dimensional solution path for support vector regression.
Proceedings of the Machine Learning, 2006

Local Discriminant Embedding with Tensor Representation.
Proceedings of the International Conference on Image Processing, 2006

Facial Expression Recognition using Advanced Local Binary Patterns, Tsallis Entropies and Global Appearance Features.
Proceedings of the International Conference on Image Processing, 2006

Solution Path for Semi-Supervised Classification with Manifold Regularization.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

A Coordinated Detection and Response Scheme for Distributed Denial-of-Service Attacks.
Proceedings of IEEE International Conference on Communications, 2006

Face Recognition with Image Sets Using Hierarchically Extracted Exemplars from Appearance Manifolds.
Proceedings of the Seventh IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2006), 2006

Extending Kernel Fisher Discriminant Analysis with the Weighted Pairwise Chernoff Criterion.
Proceedings of the Computer Vision, 2006

Locally Linear Models on Face Appearance Manifolds with Application to Dual-Subspace Based Classification.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

Graph Laplacian Kernels for Object Classification from a Single Example.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

A Manifold Regularization Approach to Calibration Reduction for Sensor-Network Based Tracking.
Proceedings of the Proceedings, 2006

Tensor Embedding Methods.
Proceedings of the Proceedings, 2006

2005
Kernel-Based Metric Adaptation with Pairwise Constraints.
Proceedings of the Advances in Machine Learning and Cybernetics, 2005

Nonlinear dimensionality reduction for classification using kernel weighted subspace method.
Proceedings of the 2005 International Conference on Image Processing, 2005

Robust Path-Based Spectral Clustering with Application to Image Segmentation.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

Stepwise Metric Adaptation Based on Semi-Supervised Learning for Boosting Image Retrieval Performance.
Proceedings of the British Machine Vision Conference 2005, Oxford, UK, September 2005, 2005

2004
Time series clustering with ARMA mixtures.
Pattern Recognit., 2004

IDR: An Intrusion Detection Router for Defending against Distributed Denial-of-Service (DDoS) Attacks.
Proceedings of the 7th International Symposium on Parallel Architectures, 2004

Bayesian inference for transductive learning of kernel matrix using the Tanner-Wong data augmentation algorithm.
Proceedings of the Machine Learning, 2004

Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model.
Proceedings of the Machine Learning, 2004

Locally linear metric adaptation for semi-supervised clustering.
Proceedings of the Machine Learning, 2004

SVC2004: First International Signature Verification Competition.
Proceedings of the Biometric Authentication, First International Conference, 2004

Reinforcement Learning in Episodic Non-stationary Markovian Environments.
Proceedings of the International Conference on Artificial Intelligence, 2004

Super-Resolution through Neighbor Embedding.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

Bayesian Inference on Principal Component Analysis Using Reversible Jump Markov Chain Monte Carlo.
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

2003
Host-based intrusion detection using dynamic and static behavioral models.
Pattern Recognit., 2003

Parametric Distance Metric Learning with Label Information.
Proceedings of the IJCAI-03, 2003

2002
On deformable models for visual pattern recognition.
Pattern Recognit., 2002

Bidirectional Deformable Matching with Application to Handwritten Character Extraction.
IEEE Trans. Pattern Anal. Mach. Intell., 2002

User Profiling for Intrusion Detection Using Dynamic and Static Behavioral Models.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2002

Parzen-Window Network Intrusion Detectors.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

Mixtures of ARMA Models for Model-Based Time Series Clustering.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

2001
Error detection, error correction and performance evaluation in on-line mathematical expression recognition.
Pattern Recognit., 2001

Hidden-Mode Markov Decision Processes for Nonstationary Sequential Decision Making.
Proceedings of the Sequence Learning - Paradigms, Algorithms, and Applications, 2001

PenCalc: A Novel Application of On-Line Mathematical Expression Recognition Technology.
Proceedings of the 6th International Conference on Document Analysis and Recognition (ICDAR 2001), 2001

Solving Hidden-Mode Markov Decision Problems.
Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001

2000
An efficient syntactic approach to structural analysis of on-line handwritten mathematical expressions.
Pattern Recognit., 2000

Mathematical expression recognition: a survey.
Int. J. Document Anal. Recognit., 2000

1999
Recognizing on-line handwritten alphanumeric characters through flexible structural matching.
Pattern Recognit., 1999

An Environment Model for Nonstationary Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

A Bidirectional Matching Algorithm for Deformable Pattern Detection with Application to Handwritten Word Retrieval.
Proceedings of the International Conference on Computer Vision, 1999

1998
A Bayesian Framework for Deformable Pattern Recognition With Application to Handwritten Character Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 1998

Towards Efficient Structural Analysis of Mathematical Expressions.
Proceedings of the Advances in Pattern Recognition, 1998

Elastic structural matching for online handwritten alphanumeric character recognition.
Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998

1997
Objective functions for training new hidden units in constructive neural networks.
IEEE Trans. Neural Networks, 1997

Constructive algorithms for structure learning in feedforward neural networks for regression problems.
IEEE Trans. Neural Networks, 1997

On-line handwritten alphanumeric character recognition using dominant points in strokes.
Pattern Recognit., 1997

1996
Use of bias term in projection pursuit learning improves approximation and convergence properties.
IEEE Trans. Neural Networks, 1996

Bayesian Regularization in Constructive Neural Networks.
Proceedings of the Artificial Neural Networks, 1996

Competitive Mixture of Deformable Models for Pattern Classification.
Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96), 1996

1995
Improving the approximation and convergence capabilities of projection pursuit learning.
Neural Process. Lett., 1995

Predictive Q-Routing: A Memory-based Reinforcement Learning Approach to Adaptive Traffic Control.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

On-Line Handwritten Alphanumeric Character Recognition Using Feature Sequences.
Proceedings of the Image Analysis Applications and Computer Graphics, 1995

Efficient cross-validation for feedforward neural networks.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

A grammatical inference approach to on-line handwriting modeling and recognition: a pilot study.
Proceedings of the Third International Conference on Document Analysis and Recognition, 1995

1993
On reducing learning time in context-dependent mappings.
IEEE Trans. Neural Networks, 1993

Constructive neural networks as estimators of bayesian discriminant functions.
Pattern Recognit., 1993

Experimental analysis of input weight freezing in constructive neural networks.
Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

1991
A Neural Network Approach to Constructive Induction.
Proceedings of the Eighth International Workshop (ML91), 1991

1989
Using a context-sensitive learning for robot arm control.
Proceedings of the 1989 IEEE International Conference on Robotics and Automation, 1989

1987
A decentralized approach to the motion planning problem for multiple mobile robots.
Proceedings of the 1987 IEEE International Conference on Robotics and Automation, Raleigh, North Carolina, USA, March 31, 1987


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