Jacob Goldberger

Orcid: 0000-0002-2225-1914

According to our database1, Jacob Goldberger authored at least 185 papers between 1997 and 2024.

Collaborative distances:
  • Dijkstra number2 of three.
  • Erdős number3 of two.

Timeline

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Bibliography

2024
Confidence Calibration of a Medical Imaging Classification System That is Robust to Label Noise.
IEEE Trans. Medical Imaging, June, 2024

Domain Adaptation Using Suitable Pseudo Labels for Speech Enhancement and Dereverberation.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

A Conformal Prediction Score that is Robust to Label Noise.
CoRR, 2024

2023
Supervised Domain Adaptation by transferring both the parameter set and its gradient.
Neurocomputing, December, 2023

An entangled mixture of variational autoencoders approach to deep clustering.
Neurocomputing, April, 2023

Utilizing Perturbation of Atoms' Positions for Equivariant Pre-Training in 3D Molecular Analysis.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

PLST: A Pseudo-labels with a Smooth Transition Strategy for Medical Site Adaptation.
Proceedings of the Domain Adaptation and Representation Transfer - 5th MICCAI Workshop, 2023

PLPP: A Pseudo Labeling Post-Processing Strategy for Unsupervised Domain Adaptation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Calibration of A Regression Network Based on the Predictive Variance with Applications to Medical Images.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Domain Adaptation for Speech Enhancement in a Large Domain Gap.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Conformal Nucleus Sampling.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Proposition-Level Clustering for Multi-Document Summarization.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Long Context Question Answering via Supervised Contrastive Learning.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Unsupervised Site Adaptation by Intra-site Variability Alignment.
Proceedings of the Domain Adaptation and Representation Transfer - 4th MICCAI Workshop, 2022

Supervised Domain Adaptation Using Gradients Transfer for Improved Medical Image Analysis.
Proceedings of the Domain Adaptation and Representation Transfer - 4th MICCAI Workshop, 2022

Calibration of Medical Imaging Classification Systems with Weight Scaling.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Class-Based Attention Mechanism for Chest Radiograph Multi-Label Categorization.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Adaptation of a Multi-Site Network to a New Clinical Site Via Batch-Normalization Similarity.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Network Calibration by Temperature Scaling based on the Predicted Confidence.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
An atlas of classifiers - a machine learning paradigm for brain MRI segmentation.
Medical Biol. Eng. Comput., 2021

perm2vec: Attentive Graph Permutation Selection for Decoding of Error Correction Codes.
IEEE J. Sel. Areas Commun., 2021

Stochastic weight pruning and the role of regularization in shaping network structure.
Neurocomputing, 2021

Weakly and semi supervised detection in medical imaging via deep dual branch net.
Neurocomputing, 2021

Dynamically localizing multiple speakers based on the time-frequency domain.
EURASIP J. Audio Speech Music. Process., 2021

Utilizing Evidence Spans via Sequence-Level Contrastive Learning for Long-Context Question Answering.
CoRR, 2021

A Proposition-Level Clustering Approach for Multi-Document Summarization.
CoRR, 2021

Denoising Word Embeddings by Averaging in a Shared Space.
Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics, 2021

Transfer Learning with a Layer Dependent Regularization for Medical Image Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Factorized CRF with Batch Normalization Based on the Entire Training Data.
Proceedings of the IEEE International Conference on Acoustics, 2021

Speech Enhancement with Mixture of Deep Experts with Clean Clustering Pre-Training.
Proceedings of the IEEE International Conference on Acoustics, 2021

Transfer Learning via Parameter Regularization for Medical Image Segmentation.
Proceedings of the 29th European Signal Processing Conference, 2021

Network Calibration by Class-based Temperature Scaling.
Proceedings of the 29th European Signal Processing Conference, 2021

Summary-Source Proposition-level Alignment: Task, Datasets and Supervised Baseline.
Proceedings of the 25th Conference on Computational Natural Language Learning, 2021

2020
A mixture of views network with applications to multi-view medical imaging.
Neurocomputing, 2020

CRF with deep class embedding for large scale classification.
Comput. Vis. Image Underst., 2020

The Role of Regularization in Shaping Weight and Node Pruning Dependency and Dynamics.
CoRR, 2020

SuperPAL: Supervised Proposition ALignment for Multi-Document Summarization and Derivative Sub-Tasks.
CoRR, 2020

FCN Approach for Dynamically Locating Multiple Speakers.
CoRR, 2020

perm2vec: Graph Permutation Selection for Decoding of Error Correction Codes using Self-Attention.
CoRR, 2020

Learning Probabilistic Fusion of Multilabel Lesion Contours.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

A Composite DNN Architecture for Speech Enhancement.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

K-Autoencoders Deep Clustering.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Locally Linear Procedure for Word Translation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Unsupervised Distillation of Syntactic Information from Contextualized Word Representations.
Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2020

2019
A dual branch deep neural network for classification and detection in mammograms.
CoRR, 2019

Precise Detection in Densely Packed Scenes.
CoRR, 2019

Aligning Vector-spaces with Noisy Supervised Lexicons.
CoRR, 2019

Clustering-Driven Deep Embedding With Pairwise Constraints.
IEEE Computer Graphics and Applications, 2019

Aligning Vector-spaces with Noisy Supervised Lexicon.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Deep Clustering Based On A Mixture Of Autoencoders.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Interpretable Online Banking Fraud Detection Based On Hierarchical Attention Mechanism.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

A Soft STAPLE Algorithm Combined with Anatomical Knowledge.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

A Mixture of Views Network With Applications to the Classification of Breast Microcalcifications.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Soft Labeling by Distilling Anatomical Knowledge for Improved MS Lesion Segmentation.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Classification and Detection in Mammograms With Weak Supervision Via Dual Branch Deep Neural Net.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Network Adaptation Strategies for Learning New Classes without Forgetting the Original Ones.
Proceedings of the IEEE International Conference on Acoustics, 2019

Information-bottleneck Based on the Jensen-shannon Divergence with Applications to Pairwise Clustering.
Proceedings of the IEEE International Conference on Acoustics, 2019

Multi-Microphone Speaker Separation based on Deep DOA Estimation.
Proceedings of the 27th European Signal Processing Conference, 2019

A Multi-Pairwise Extension of Procrustes Analysis for Multilingual Word Translation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Multilingual word translation using auxiliary languages.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Precise Detection in Densely Packed Scenes.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification.
Neurocomputing, 2018

Attention-Based Neural Network for Joint Diarization and Speaker Extraction.
Proceedings of the 16th International Workshop on Acoustic Signal Enhancement, 2018

Synthetic data augmentation using GAN for improved liver lesion classification.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Training a neural network based on unreliable human annotation of medical images.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Anatomical data augmentation for CNN based pixel-wise classification.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Adding New Classes without Access to the Original Training Data with Applications to Language Identification.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

DNN-Based Concurrent Speakers Detector and its Application to Speaker Extraction with LCMV Beamforming.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Training Strategies for Deep Latent Models and Applications to Speech Presence Probability Estimation.
Proceedings of the Latent Variable Analysis and Signal Separation, 2018

Speech Dereverberation Using Fully Convolutional Networks.
Proceedings of the 26th European Signal Processing Conference, 2018

LCMV Beamformer with DNN-Based Multichannel Concurrent Speakers Detector.
Proceedings of the 26th European Signal Processing Conference, 2018

Self-Normalization Properties of Language Modeling.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

2017
Task-Driven Dictionary Learning Based on Mutual Information for Medical Image Classification.
IEEE Trans. Biomed. Eng., 2017

Structured Image Classification from Conditional Random Field with Deep Class Embedding.
CoRR, 2017

Speech Enhancement using a Deep Mixture of Experts.
CoRR, 2017

Deep recurrent mixture of experts for speech enhancement.
Proceedings of the 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2017

A deep neural network witharestricted noisy channel for identification of functional introns.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Atlas of Classifiers for Brain MRI Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Modeling the Intra-class Variability for Liver Lesion Detection Using a Multi-class Patch-Based CNN.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2017

Training deep neural-networks using a noise adaptation layer.
Proceedings of the 5th International Conference on Learning Representations, 2017

Speaker extraction using LCMV beamformer with DNN-based SPP and RTF identification scheme.
Proceedings of the 25th European Signal Processing Conference, 2017

Successive relative transfer function identification using single microphone speech enhancement.
Proceedings of the 25th European Signal Processing Conference, 2017

A Simple Language Model based on PMI Matrix Approximations.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Information-Theory Interpretation of the Skip-Gram Negative-Sampling Objective Function.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Hierarchical Image Segmentation Using Correlation Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2016

Multi-View Probabilistic Classification of Breast Microcalcifications.
IEEE Trans. Medical Imaging, 2016

A Hybrid Approach for Speech Enhancement Using MoG Model and Neural Network Phoneme Classifier.
IEEE ACM Trans. Audio Speech Lang. Process., 2016

Pairwise clustering based on the mutual-information criterion.
Neurocomputing, 2016

Patch-Based Segmentation with Spatial Consistency: Application to MS Lesions in Brain MRI.
Int. J. Biomed. Imaging, 2016

PMI Matrix Approximations with Applications to Neural Language Modeling.
CoRR, 2016

Domain Adaptation For Formant Estimation Using Deep Learning.
CoRR, 2016

A Semisupervised Approach for Language Identification based on Ladder Networks.
Proceedings of the Odyssey 2016: The Speaker and Language Recognition Workshop, 2016

Combining clusterings with different detail levels.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Intra-cluster training strategy for deep learning with applications to language identification.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Mutual information criterion for feature selection with application to classification of breast microcalcifications.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

A phoneme-based pre-training approach for deep neural network with application to speech enhancement.
Proceedings of the IEEE International Workshop on Acoustic Signal Enhancement, 2016

A multi-view deep learning architecture for classification of breast microcalcifications.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Combining soft decisions of several unreliable experts.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Training deep neural-networks based on unreliable labels.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

context2vec: Learning Generic Context Embedding with Bidirectional LSTM.
Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, 2016

2015
Efficient Global Learning of Entailment Graphs.
Comput. Linguistics, 2015

Obstacle detection in a greenhouse environment using the Kinect sensor.
Comput. Electron. Agric., 2015

Modeling Word Meaning in Context with Substitute Vectors.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

MS lesion segmentation using a multi-channel patch-based approach with spatial consistency.
Proceedings of the Medical Imaging 2015: Image Processing, 2015

Multi-phase liver lesions classification using relevant visual words based on mutual information.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Learning to combine decisions from multiple mammography views.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Learning to Exploit Structured Resources for Lexical Inference.
Proceedings of the 19th Conference on Computational Natural Language Learning, 2015

2014
MIMO detection based on averaging Gaussian projections.
Proceedings of the IEEE International Conference on Acoustics, 2014

Probabilistic Modeling of Joint-context in Distributional Similarity.
Proceedings of the Eighteenth Conference on Computational Natural Language Learning, 2014

Focused Entailment Graphs for Open IE Propositions.
Proceedings of the Eighteenth Conference on Computational Natural Language Learning, 2014

2013
Information Theoretic Pairwise Clustering.
Proceedings of the Similarity-Based Pattern Recognition - Second International Workshop, 2013

Break and Conquer: Efficient Correlation Clustering for Image Segmentation.
Proceedings of the Similarity-Based Pattern Recognition - Second International Workshop, 2013

Visual words based approach for tissue classification in mammograms.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

Improved MIMO detection based on successive tree approximations.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

PLIS: a Probabilistic Lexical Inference System.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

Using Lexical Expansion to Learn Inference Rules from Sparse Data.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

A Two Level Model for Context Sensitive Inference Rules.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
An unsupervised data projection that preserves the cluster structure.
Pattern Recognit. Lett., 2012

Ensemble Segmentation Using Efficient Integer Linear Programming.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Dimensionality reduction based on non-parametric mutual information.
Neurocomputing, 2012

Learning Entailment Relations by Global Graph Structure Optimization.
Comput. Linguistics, 2012

A Probabilistic Lexical Model for Ranking Textual Inferences.
Proceedings of the First Joint Conference on Lexical and Computational Semantics, 2012

Unsupervised feature selection based on non-parametric mutual information.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Efficient Tree-based Approximation for Entailment Graph Learning.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011
X-ray Categorization and Retrieval on the Organ and Pathology Level, Using Patch-Based Visual Words.
IEEE Trans. Medical Imaging, 2011

MIMO Detection for High-Order QAM Based on a Gaussian Tree Approximation.
IEEE Trans. Inf. Theory, 2011

Iterative Tomographic Solution of Integer Least Squares Problems With Applications to MIMO Detection.
IEEE J. Sel. Top. Signal Process., 2011

Distilling the wisdom of crowds: weighted aggregation of decisions on multiple issues.
Auton. Agents Multi Agent Syst., 2011

X-ray Categorization and Spatial Localization of Chest Pathologies.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

System for pathology categorization and retrieval in chest radiographs.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

Towards a Probabilistic Model for Lexical Entailment.
Proceedings of the Workshop on Textual Entailment, 2011

A Probabilistic Modeling Framework for Lexical Entailment.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

Global Learning of Typed Entailment Rules.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010
Automated and Interactive Lesion Detection and Segmentation in Uterine Cervix Images.
IEEE Trans. Medical Imaging, 2010

Efficient Anonymizations with Enhanced Utility.
Trans. Data Priv., 2010

Chest x-ray characterization: from organ identification to pathology categorization.
Proceedings of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval, 2010

Nonparametric Information Theoretic Clustering Algorithm.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Global Learning of Focused Entailment Graphs.
Proceedings of the ACL 2010, 2010

Medical Image Classification at Tel Aviv and Bar Ilan Universities.
Proceedings of the ImageCLEF, Experimental Evaluation in Visual Information Retrieval, 2010

2009
Urban-Area Segmentation Using Visual Words.
IEEE Geosci. Remote. Sens. Lett., 2009

Analyzing movement trajectories using a Markov bi-clustering method.
J. Comput. Neurosci., 2009

Multiple Sclerosis Lesion Detection Using Constrained GMM and Curve Evolution.
Int. J. Biomed. Imaging, 2009

A Gaussian Tree Approximation for Integer Least-Squares.
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

X-Ray Image Categorization and Retrieval Using Patch-Based Visual Words Representation.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Lesion Detection and Segmentation in Uterine Cervix Images Using an Arc-Level MRF.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

MIMO decoding based on stochastic reconstruction from multiple projections.
Proceedings of the IEEE International Conference on Acoustics, 2009

Addressing the ImageClef 2009 Challenge Using a Patch-based Visual Words Representation.
Proceedings of the Working Notes for CLEF 2009 Workshop co-located with the 13th European Conference on Digital Libraries (ECDL 2009) , Corfù, Greece, September 30, 2009

Dense Simple Features for Fast and Accurate Medical X-Ray Annotation.
Proceedings of the Multilingual Information Access Evaluation II. Multimedia Experiments, 2009

2008
Serial Schedules for Belief-Propagation: Analysis of Convergence Time.
IEEE Trans. Inf. Theory, 2008

A hierarchical clustering algorithm based on the Hungarian method.
Pattern Recognit. Lett., 2008

Simplifying Mixture Models Using the Unscented Transform.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

Face Recognition Using Classification-Based Linear Projections.
EURASIP J. Adv. Signal Process., 2008

ICA based on a Smooth Estimation of the Differential Entropy.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Detection of Urban Zones in Satellite Images using Visual Words.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

Unifying Unknown Nodes in the Internet Graph Using Semisupervised Spectral Clustering.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

TAU MIPLAB at ImageClef 2008.
Proceedings of the Working Notes for CLEF 2008 Workshop co-located with the 12th European Conference on Digital Libraries (ECDL 2008) , 2008

Contextual Preferences.
Proceedings of the ACL 2008, 2008

2007
Efficient Serial Message-Passing Schedules for LDPC Decoding.
IEEE Trans. Inf. Theory, 2007

Lesion Detection in Noisy Mr Brain Images Using Constrained Gmm and Active Contours.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

A classification-based linear projection of labeled hyperspectral data.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007

Combining Region and Edge Cues for Image Segmentation in a Probabilistic Gaussian Mixture Framework.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

An Optimal Reduced Representation of a MoG with Applicatios to Medical Image Database Classification.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Constrained Gaussian mixture model framework for automatic segmentation of MR brain images.
IEEE Trans. Medical Imaging, 2006

Unsupervised image-set clustering using an information theoretic framework.
IEEE Trans. Image Process., 2006

Context-Based Segmentation of Image Sequences.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

2005
Reconstructing camera projection matrices from multiple pairwise overlapping views.
Comput. Vis. Image Underst., 2005

Tissue Classification of Noisy MR Brain Images Using Constrained GMM.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

A distance measure between GMMs based on the unscented transform and its application to speaker recognition.
Proceedings of the 9th European Conference on Speech Communication and Technology, 2005

2004
Probabilistic Space-Time Video Modeling via Piecewise GMM.
IEEE Trans. Pattern Anal. Mach. Intell., 2004

Neighbourhood Components Analysis.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Hierarchical Clustering of a Mixture Model.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2003
Applying the Information Bottleneck Principle to Unsupervised Clustering of Discrete and Continuous Image Representations.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

An Efficient Image Similarity Measure Based on Approximations of KL-Divergence Between Two Gaussian Mixtures.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

2002
Probabilistic Models for Generating, Modelling and Matching Image Categories.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

A Probabilistic Framework for Spatio-Temporal Video Representation & Indexing.
Proceedings of the Computer Vision, 2002

Unsupervised Image Clustering Using the Information Bottleneck Method.
Proceedings of the Pattern Recognition, 2002

2001
Mixture model for face-color modeling and segmentation.
Pattern Recognit. Lett., 2001

A Continuous Probabilistic Framework for Image Matching.
Comput. Vis. Image Underst., 2001

Sequentially finding the N-Best List in Hidden Markov Models.
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

1999
Segmental modeling using a continuous mixture of nonparametric models.
IEEE Trans. Speech Audio Process., 1999

Registration of Multiple Point Sets using the EM Algorithm.
Proceedings of the International Conference on Computer Vision, 1999

1998
Scaled random trajectory segment models.
Comput. Speech Lang., 1998

Scaled random segmental models.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

1997
Segmental modeling using a continuous mixture of non-parametric models.
Proceedings of the Fifth European Conference on Speech Communication and Technology, 1997


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