Brendan J. Frey

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Learning structural element patch models with hierarchical palettes.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Cumulative Distribution Networks and the Derivative-sum-product Algorithm: Models and Inference for Cumulative Distribution Functions on Graphs.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2011

Interpreting Graph Cuts as a Max-Product Algorithm

[BibT_eX]

[DOI]

CoRR, 2011

Bayesian prediction of tissue-regulated splicing using RNA sequence and cellular context.

[BibT_eX]

[DOI]

Hui Yuan Xiong

Yoseph Barash

Bioinform., 2011

Computational refinement of post-translational modifications predicted from tandem mass spectrometry.

[BibT_eX]

[DOI]

Bioinform., 2011

Graph Cuts is a Max-Product Algorithm.

[BibT_eX]

[DOI]

Proceedings of the UAI 2011, 2011

Hierarchical Affinity Propagation.

[BibT_eX]

[DOI]

Clement Chung

Proceedings of the UAI 2011, 2011

Learning better image representations using 'flobject analysis'.

[BibT_eX]

[DOI]

Patrick S. Li

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

STORMSeq: A Method for Ranking Regulatory Sequences by Integrating Experimental Datasets with Diverse Computational Predictions.

[BibT_eX]

[DOI]

Proceedings of the Handbook of Statistical Bioinformatics., 2011

2010

Deciphering the splicing code.

[BibT_eX]

[DOI]

Nat., 2010

Solving the Uncapacitated Facility Location Problem Using Message Passing Algorithms.

[BibT_eX]

[DOI]

Nevena Lazic

Parham Aarabi

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Model-based detection of alternative splicing signals.

[BibT_eX]

[DOI]

Yoseph Barash

Benjamin J. Blencowe

Bioinform., 2010

2009

Rateless coding for arbitrary channel mixtures with decoder channel state information.

[BibT_eX]

[DOI]

Stark C. Draper

IEEE Trans. Inf. Theory, 2009

A Binary Variable Model for Affinity Propagation.

[BibT_eX]

[DOI]

Neural Comput., 2009

Semi-Supervised Affinity Propagation with Instance-Level Constraints.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

FLoSS: Facility location for subspace segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Stel component analysis: Modeling spatial correlations in image class structure.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

Fast Transformation-Invariant Component Analysis.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2008

Video Epitomes.

[BibT_eX]

[DOI]

Vincent Cheung

Int. J. Comput. Vis., 2008

Flexible Priors for Exemplar-based Clustering.

[BibT_eX]

[DOI]

Daniel Tarlow

Richard S. Zemel

Proceedings of the UAI 2008, 2008

Cumulative distribution networks and the derivative-sum-product algorithm.

[BibT_eX]

[DOI]

Proceedings of the UAI 2008, 2008

Constructing Treatment Portfolios Using Affinity Propagation.

[BibT_eX]

[DOI]

Proceedings of the Research in Computational Molecular Biology, 2008

Comparing Sequence and Expression for Predicting microRNA Targets Using GenMIR3.

[BibT_eX]

[DOI]

Proceedings of the Biocomputing 2008, 2008

Structured ranking learning using cumulative distribution networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007

Variational Probabilistic Speech Separation Using Microphone Arrays.

[BibT_eX]

[DOI]

Steven J. Rennie

Parham Aarabi

IEEE Trans. Speech Audio Process., 2007

Bayesian Inference of MicroRNA Targets from Sequence and Expression Data.

[BibT_eX]

[DOI]

J. Comput. Biol., 2007

A Bayesian Model That Links Microarray mRNA Measurements to Mass Spectrometry Protein Measurements.

[BibT_eX]

[DOI]

Andrew Emili

Proceedings of the Research in Computational Molecular Biology, 2007

Learning in Biomedicine and Bioinformatics Using Affinity Propagation.

[BibT_eX]

[DOI]

Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

Non-metric affinity propagation for unsupervised image categorization.

[BibT_eX]

[DOI]

Delbert Dueck

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

2006

Unwrapping of MR phase images using a Markov random field model.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2006

GenRate: A Generative Model that Reveals Novel Transcripts in Genome-Tiling Microarray Data.

[BibT_eX]

[DOI]

Timothy R. Hughes

J. Comput. Biol., 2006

Inferring global levels of alternative splicing isoforms using a generative model of microarray data.

[BibT_eX]

[DOI]

Bioinform., 2006

Matrix Tile Analysis.

[BibT_eX]

[DOI]

Vincent Cheung

Proceedings of the UAI '06, 2006

Detecting MicroRNA Targets by Linking Sequence, MicroRNA and Gene Expression Data.

[BibT_eX]

[DOI]

Proceedings of the Research in Computational Molecular Biology, 2006

Beyond genomics: Detecting codes and signals in the cellular transcriptome [Plenary speakers].

[BibT_eX]

[DOI]

Proceedings of the Proceedings 2006 IEEE International Symposium on Information Theory, 2006

2005

A Comparison of Algorithms for Inference and Learning in Probabilistic Graphical Models.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2005

Finding Novel Transcripts in High-Resolution Genome-Wide Microarray Data Using the GenRate Model.

[BibT_eX]

[DOI]

Proceedings of the Research in Computational Molecular Biology, 2005

GenRate: A Generative Model That Finds and Scores New Genes and Exons in Genomic Microarray Data.

[BibT_eX]

[DOI]

Proceedings of the Biocomputing 2005, 2005

Using epitomes to model genetic diversity: Rational design of HIV vaccines.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Mixture Modeling by Affinity Propagation.

[BibT_eX]

[DOI]

Delbert Dueck

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

GenXHC: a probabilistic generative model for cross-hybridization compensation in high-density genome-wide microarray data.

[BibT_eX]

[DOI]

Proceedings of the Proceedings Thirteenth International Conference on Intelligent Systems for Molecular Biology 2005, 2005

Multi-way clustering of microarray data using probabilistic sparse matrix factorization.

[BibT_eX]

[DOI]

Delbert Dueck

Proceedings of the Proceedings Thirteenth International Conference on Intelligent Systems for Molecular Biology 2005, 2005

A segment based probabilistic generative model of speech.

[BibT_eX]

[DOI]

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Variational Speech Separation of More Sources than Mixtures.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

Generative Model for Layers of Appearance and Deformation.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004

Convolutional Factor Graphs as Probabilistic Models.

[BibT_eX]

[DOI]

Yongyi Mao

Proceedings of the UAI '04, 2004

A Generative Model of Dense Optical Flow in Layers.

[BibT_eX]

[DOI]

Proceedings of the Spatial Coherence for Visual Motion Analysis, 2004

Probabilistic Inference of Alternative Splicing Events in Microarray Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Efficient variable length channel coding for unknown DMCs.

[BibT_eX]

[DOI]

Stark C. Draper

Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004

On interacting encoders and decoders in multiuser settings.

[BibT_eX]

[DOI]

Stark C. Draper

Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004

Learning to cluster using local neighborhood structure.

[BibT_eX]

[DOI]

Rómer Rosales

Proceedings of the Machine Learning, 2004

2003

Transformation-Invariant Clustering Using the EM Algorithm.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2003

Learning Generative Models of Similarity Matrices.

[BibT_eX]

[DOI]

Rómer Rosales

Proceedings of the UAI '03, 2003

Extending Factor Graphs so as to Unify Directed and Undirected Graphical Models.

[BibT_eX]

[DOI]

Proceedings of the UAI '03, 2003

Denoising and Untangling Graphs Using Degree Priors.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Probabilistic Inference of Speech Signals from Phaseless Spectrograms.

[BibT_eX]

[DOI]

Sam T. Roweis

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Multibaseline InSAR terrain elevation estimation: a dynamic programming approach.

[BibT_eX]

[DOI]

Proceedings of the 2003 International Conference on Image Processing, 2003

Unsupervised Image Translation.

[BibT_eX]

[DOI]

Rómer Rosales

Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

Epitomic analysis of appearance and shape.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

Robust variational speech separation using fewer microphones than speakers.

[BibT_eX]

[DOI]

Steven J. Rennie

Parham Aarabi

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Learning Appearance and Transparency Manifolds of Occluded Objects in Layers.

[BibT_eX]

[DOI]

Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003

Real-time On-line Learning of Transformed Hidden Markov Models from Video.

[BibT_eX]

[DOI]

Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003

2002

Fast Transformation-Invariant Factor Analysis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Combination of statistical and rule-based approaches for spoken language understanding.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002

An iterative dynamic programming approach to 2-D phase unwrapping.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002

Balancing rewrapping error and smoothness in two dimensional phase unwrapping problems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002

Phase unwrapping by minimizing Kikuchi free energy.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002

Noise robust speech recognition using Gaussian basis functions for non-linear likelihood function approximation.

[BibT_eX]

[DOI]

Chris Pal

Proceedings of the IEEE International Conference on Acoustics, 2002

Accounting for uncertainity in observations: A new paradigm for Robust Automatic Speech Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2002

Learning Montages of Transformed Latent Images as Representations of Objects That Change in Appearance.

[BibT_eX]

[DOI]

Chris Pal

Proceedings of the Computer Vision, 2002

2001

Factor graphs and the sum-product algorithm.

[BibT_eX]

[DOI]

Hans-Andrea Loeliger

IEEE Trans. Inf. Theory, 2001

Signal-space characterization of iterative decoding.

[BibT_eX]

[DOI]

Alexander Vardy

IEEE Trans. Inf. Theory, 2001

Introduction to the special issue on codes on graphs and iterative algorithms.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2001

A Factorized Variational Technique for Phase Unwrapping in Markov Random Field.

[BibT_eX]

[DOI]

Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

Very loopy belief propagation for unwrapping phase images.

[BibT_eX]

[DOI]

Nemanja Petrovic

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Product Analysis: Learning to Model Observations as Products of Hidden Variables.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

ALGONQUIN - Learning Dynamic Noise Models From Noisy Speech for Robust Speech Recognition.

[BibT_eX]

[DOI]

Li Deng

Alex Acero

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Fast, Large-Scale Transformation-Invariant Clustering.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

"Codes" on images and iterative phase unwrapping.

[BibT_eX]

[DOI]

Nemanja Petrovic

Proceedings of the 2001 IEEE Information Theory Workshop, 2001

ALGONQUIN: iterating laplace's method to remove multiple types of acoustic distortion for robust speech recognition.

[BibT_eX]

[DOI]

Li Deng

Alex Acero

Proceedings of the EUROSPEECH 2001 Scandinavia, 2001

Separating Appearance from Deformation.

[BibT_eX]

[DOI]

Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001

Towards non-stationary model-based noise adaptation for large vocabulary speech recognition.

[BibT_eX]

[DOI]

Li Deng

Alex Acero

Proceedings of the IEEE International Conference on Acoustics, 2001

Unwrapping phase images by propagating probabilities across graphs.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2001

Unwrapping phases by relaxed mean field inference.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2001

Enforcing Integrability for Surface Reconstruction Algorithms Using Belief Propagation in Graphical Models.

[BibT_eX]

[DOI]

Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

Learning Flexible Sprites in Video Layers.

[BibT_eX]

[DOI]

Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

Learning mixtures of smooth, nonuniform deformation models for probabilistic image matching.

[BibT_eX]

[DOI]

Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001

2000

Learning Graphical Models of Images, Videos and Their Spatial Transformations.

[BibT_eX]

[DOI]

Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

Keeping Flexible Active Contours on Track using Metropolis Updates.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Sequentially Fitting "Inclusive" Trees for Inference in Noisy-OR Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Accumulator Networks: Suitors of Local Probability Propagation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Learning Sparse Multiple Cause Models.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Pattern Recognition, 2000

Event-Coupled Hidden Markov Models.

[BibT_eX]

[DOI]

Proceedings of the 2000 IEEE International Conference on Multimedia and Expo, 2000

Transformed Hidden Markov Models: Estimating Mixture Models of Images and Inferring Spatial Transformations in Video Sequence.

[BibT_eX]

[DOI]

Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000

Filling In Scenes by Propagating Probabilities through Layers and Into Appearance Models.

[BibT_eX]

[DOI]

Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000

1999

Variational Learning in Nonlinear Gaussian Belief Networks.

[BibT_eX]

[DOI]

Neural Comput., 1999

Variational Learning in Mixed-State Dynamic Graphical Models.

[BibT_eX]

[DOI]

Vladimir Pavlovic

Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

Topographic Transformation as a Discrete Latent Variable.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Local Probability Propagation for Factor Analysis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Detection and Tracking of Faces and Facial Features.

[BibT_eX]

[DOI]

Proceedings of the 1999 International Conference on Image Processing, 1999

Embedded Face and Facial Expression Recognition.

[BibT_eX]

[DOI]

Proceedings of the 1999 International Conference on Image Processing, 1999

Transformed Component Analysis: Joint Estimation of Spatial Transformations and Image Components.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computer Vision, 1999

Time-Series Classification Using Mixed-State Dynamic Bayesian Networks.

[BibT_eX]

[DOI]

Vladimir Pavlovic

Proceedings of the 1999 Conference on Computer Vision and Pattern Recognition (CVPR '99), 1999

Estimating Mixture Models of Images and Inferring Spatial Transformations Using the EM Algorithm.

[BibT_eX]

[DOI]

Proceedings of the 1999 Conference on Computer Vision and Pattern Recognition (CVPR '99), 1999

A Probabilistic Framework for Embedded Face and Facial Expression Recognition.

[BibT_eX]

[DOI]

Proceedings of the 1999 Conference on Computer Vision and Pattern Recognition (CVPR '99), 1999

1998

Iterative Decoding of Compound Codes by Probability Propagation in Graphical Models.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 1998

Early Detection and Trellis Splicing: Reduced-Complexity Iterative Decoding.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 1998

Probabalistic Multimedia Objects (Multijects): A Novel Approach to Video Indexing and Retrieval in Multimedia Systems.

[BibT_eX]

Milind R. Naphade

Proceedings of the 1998 IEEE International Conference on Image Processing, 1998

Mixtures of Local Linear Subspaces for Face Recognition.

[BibT_eX]

[DOI]

Proceedings of the 1998 Conference on Computer Vision and Pattern Recognition (CVPR '98), 1998

1997

Efficient Stochastic Source Coding and an Application to a Bayesian Network Source Model.

[BibT_eX]

Comput. J., 1997

A Revolution: Belief Propagation in Graphs with Cycles.

[BibT_eX]

[DOI]

David J. C. MacKay

Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Variational Inference for continuous Sigmoidal Bayesian Networks.

[BibT_eX]

[DOI]

Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, 1997

1996

Continuous Sigmoidal Belief Networks Trained using Slice Sampling.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 9, 1996

Free Energy Coding.

[BibT_eX]

[DOI]

Proceedings of the 6th Data Compression Conference (DCC '96), Snowbird, Utah, USA, March 31, 1996

1995

Does the Wake-sleep Algorithm Produce Good Density Estimators?

[BibT_eX]

[DOI]