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ORCIDBrendan J. Frey
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- affiliation: University of Toronto, Department of Electrical and Computer Engineering
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Journal Articles
- 2018
[j32]Hannes Bretschneider
, Shreshth Gandhi, Amit G. Deshwar, Khalid Zuberi, Brendan J. Frey:
COSSMO: predicting competitive alternative splice site selection using deep learning. Bioinform. 34(13): i429-i437 (2018)- [j31]Michael K. K. Leung, Andrew Delong, Brendan J. Frey:
Inference of the human polyadenylation code. Bioinform. 34(17): 2889-2898 (2018) - 2016
- [j30]Oren Z. Kraus, Lei Jimmy Ba, Brendan J. Frey:
Classifying and segmenting microscopy images with deep multiple instance learning. Bioinform. 32(12): 52-59 (2016) - [j29]Michael Wainberg, Babak Alipanahi, Brendan J. Frey:
Are Random Forests Truly the Best Classifiers? J. Mach. Learn. Res. 17: 110:1-110:5 (2016) - [j28]Michael K. K. Leung, Andrew Delong, Babak Alipanahi, Brendan J. Frey:
Machine Learning in Genomic Medicine: A Review of Computational Problems and Data Sets. Proc. IEEE 104(1): 176-197 (2016) - 2014
- [j27]Michael K. K. Leung, Hui Yuan Xiong, Leo J. Lee, Brendan J. Frey:
Deep learning of the tissue-regulated splicing code. Bioinform. 30(12): 121-129 (2014) - 2013
- [j26]Clement Chung, Andrew Emili, Brendan J. Frey:
Non-parametric Bayesian approach to post-translational modification refinement of predictions from tandem mass spectrometry. Bioinform. 29(7): 821-829 (2013) - [j25]Debashish Ray, Hilal Kazan, Kate B. Cook, Matthew T. Weirauch, Hamed S. Najafabadi, Xiao Li, Serge Gueroussov, Mihai Albu, Hong Zheng, Ally Yang, Hong Na, Manuel Irimia, Leah H. Matzat, Ryan K. Dale, Sarah A. Smith, Christopher A. Yarosh, Seth M. Kelly, Behnam Nabet, Desirea Mecenas, Weimin Li, Rakesh S. Laishram, Mei Qiao, Howard D. Lipshitz, Fabio Piano, Anita H. Corbett, Russ P. Carstens, Brendan J. Frey, Richard A. Anderson, Kristen W. Lynch, Luiz O. F. Penalva, Elissa P. Lei, Andrew G. Fraser, Benjamin J. Blencowe, Quaid Morris, Timothy R. Hughes:
A compendium of RNA-binding motifs for decoding gene regulation. Nat. 499(7457): 172-177 (2013) - 2012
- [j24]Boyko Kakaradov, Hui Yuan Xiong, Leo J. Lee, Nebojsa Jojic, Brendan J. Frey:
Challenges in estimating percent inclusion of alternatively spliced junctions from RNA-seq data. BMC Bioinform. 13(S-6): S11 (2012) - 2011
- [j23]Clement Chung, Jian Liu, Andrew Emili, Brendan J. Frey:
Computational refinement of post-translational modifications predicted from tandem mass spectrometry. Bioinform. 27(6): 797-806 (2011) - [j22]Hui Yuan Xiong, Yoseph Barash, Brendan J. Frey:
Bayesian prediction of tissue-regulated splicing using RNA sequence and cellular context. Bioinform. 27(18): 2554-2562 (2011) - [j21]Jim C. Huang, Brendan J. Frey:
Cumulative Distribution Networks and the Derivative-sum-product Algorithm: Models and Inference for Cumulative Distribution Functions on Graphs. J. Mach. Learn. Res. 12: 301-348 (2011) - 2010
- [j20]Yoseph Barash, Benjamin J. Blencowe, Brendan J. Frey:
Model-based detection of alternative splicing signals. Bioinform. 26(12): 325-333 (2010) - [j19]Yoseph Barash, John A. Calarco, Weijun Gao, Qun Pan, Xinchen Wang, Ofer Shai, Benjamin J. Blencowe, Brendan J. Frey:
Deciphering the splicing code. Nat. 465(7294): 53-59 (2010) - 2009
- [j18]Inmar E. Givoni, Brendan J. Frey:
A Binary Variable Model for Affinity Propagation. Neural Comput. 21(6): 1589-1600 (2009) - [j17]Stark C. Draper, Frank R. Kschischang, Brendan J. Frey:
Rateless coding for arbitrary channel mixtures with decoder channel state information. IEEE Trans. Inf. Theory 55(9): 4119-4133 (2009) - 2008
- [j16]Vincent Cheung, Brendan J. Frey, Nebojsa Jojic:
Video Epitomes. Int. J. Comput. Vis. 76(2): 141-152 (2008) - [j15]Anitha Kannan, Nebojsa Jojic, Brendan J. Frey:
Fast Transformation-Invariant Component Analysis. Int. J. Comput. Vis. 77(1-3): 87-101 (2008) - 2007
- [j14]Jim C. Huang, Quaid Morris, Brendan J. Frey:
Bayesian Inference of MicroRNA Targets from Sequence and Expression Data. J. Comput. Biol. 14(5): 550-563 (2007) - [j13]Steven J. Rennie, Parham Aarabi, Brendan J. Frey:
Variational Probabilistic Speech Separation Using Microphone Arrays. IEEE Trans. Speech Audio Process. 15(1): 135-149 (2007) - 2006
- [j12]Ofer Shai, Quaid Morris, Benjamin J. Blencowe, Brendan J. Frey:
Inferring global levels of alternative splicing isoforms using a generative model of microarray data. Bioinform. 22(5): 606-613 (2006) - [j11]Brendan J. Frey, Quaid Morris, Timothy R. Hughes:
GenRate: A Generative Model that Reveals Novel Transcripts in Genome-Tiling Microarray Data. J. Comput. Biol. 13(2): 200-214 (2006) - [j10]Lei Ying, Zhi-Pei Liang, David C. Munson, Ralf Koetter, Brendan J. Frey:
Unwrapping of MR phase images using a Markov random field model. IEEE Trans. Medical Imaging 25(1): 128-136 (2006) - 2005
- [j9]Brendan J. Frey, Nebojsa Jojic:
A Comparison of Algorithms for Inference and Learning in Probabilistic Graphical Models. IEEE Trans. Pattern Anal. Mach. Intell. 27(9): 1392-1416 (2005) - 2003
- [j8]Brendan J. Frey, Nebojsa Jojic:
Transformation-Invariant Clustering Using the EM Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. 25(1): 1-17 (2003) - 2001
- [j7]Brendan J. Frey, Ralf Koetter, G. David Forney Jr., Frank R. Kschischang, Robert J. McEliece, Daniel A. Spielman:
Introduction to the special issue on codes on graphs and iterative algorithms. IEEE Trans. Inf. Theory 47(2): 493-497 (2001) - [j6]Frank R. Kschischang, Brendan J. Frey, Hans-Andrea Loeliger:
Factor graphs and the sum-product algorithm. IEEE Trans. Inf. Theory 47(2): 498-519 (2001) - [j5]Brendan J. Frey, Ralf Koetter, Alexander Vardy:
Signal-space characterization of iterative decoding. IEEE Trans. Inf. Theory 47(2): 766-781 (2001) - 1999
- [j4]Brendan J. Frey, Geoffrey E. Hinton:
Variational Learning in Nonlinear Gaussian Belief Networks. Neural Comput. 11(1): 193-213 (1999) - 1998
- [j3]Brendan J. Frey, Frank R. Kschischang:
Early Detection and Trellis Splicing: Reduced-Complexity Iterative Decoding. IEEE J. Sel. Areas Commun. 16(2): 153-159 (1998) - [j2]Frank R. Kschischang, Brendan J. Frey:
Iterative Decoding of Compound Codes by Probability Propagation in Graphical Models. IEEE J. Sel. Areas Commun. 16(2): 219-230 (1998) - 1997
- [j1]Brendan J. Frey, Geoffrey E. Hinton:
Efficient Stochastic Source Coding and an Application to a Bayesian Network Source Model. Comput. J. 40(2/3): 157-165 (1997)
Conference and Workshop Papers
- 2017
- [c105]Alireza Makhzani, Brendan J. Frey:
PixelGAN Autoencoders. NIPS 2017: 1975-1985 - [c104]Christopher Srinivasa, Inmar E. Givoni, Siamak Ravanbakhsh, Brendan J. Frey:
Min-Max Propagation. NIPS 2017: 5565-5573 - [c103]Michael K. K. Leung, Andrew Delong, Brendan J. Frey:
Inference of the Human Polyadenylation Code. RECOMB 2017: 379 - 2016
- [c102]Christopher Srinivasa, Siamak Ravanbakhsh, Brendan J. Frey:
Survey Propagation beyond Constraint Satisfaction Problems. AISTATS 2016: 286-295 - 2015
- [c101]Jimmy Ba, Ruslan Salakhutdinov, Roger B. Grosse, Brendan J. Frey:
Learning Wake-Sleep Recurrent Attention Models. NIPS 2015: 2593-2601 - [c100]Alireza Makhzani, Brendan J. Frey:
Winner-Take-All Autoencoders. NIPS 2015: 2791-2799 - 2014
- [c99]Siamak Ravanbakhsh, Christopher Srinivasa, Brendan J. Frey, Russell Greiner:
Min-Max Problems on Factor Graphs. ICML 2014: 1035-1043 - [c98]Alireza Makhzani, Brendan J. Frey:
k-Sparse Autoencoders. ICLR (Poster) 2014 - 2013
- [c97]Lei Jimmy Ba, Brendan J. Frey:
Adaptive dropout for training deep neural networks. NIPS 2013: 3084-3092 - 2012
- [c96]Jeroen Chua, Inmar E. Givoni, Ryan Prescott Adams, Brendan J. Frey:
Learning structural element patch models with hierarchical palettes. CVPR 2012: 2416-2423 - [c95]Patrick S. Li, Brendan J. Frey:
Factorizing appearance using epitomic flobject analysis. CVPR 2012: 2839-2846 - [c94]Kevin Swersky, Daniel Tarlow, Ryan P. Adams, Richard S. Zemel, Brendan J. Frey:
Probabilistic n-Choose-k Models for Classification and Ranking. NIPS 2012: 3059-3067 - [c93]Daniel Tarlow, Kevin Swersky, Richard S. Zemel, Ryan Prescott Adams, Brendan J. Frey:
Fast Exact Inference for Recursive Cardinality Models. UAI 2012: 825-834 - 2011
- [c92]Patrick S. Li, Inmar E. Givoni, Brendan J. Frey:
Learning better image representations using 'flobject analysis'. CVPR 2011: 2721-2728 - [c91]Inmar E. Givoni, Clement Chung, Brendan J. Frey:
Hierarchical Affinity Propagation. UAI 2011: 238-246 - [c90]Daniel Tarlow, Inmar E. Givoni, Richard S. Zemel, Brendan J. Frey:
Graph Cuts is a Max-Product Algorithm. UAI 2011: 671-680 - 2010
- [c89]Nevena Lazic, Brendan J. Frey, Parham Aarabi:
Solving the Uncapacitated Facility Location Problem Using Message Passing Algorithms. AISTATS 2010: 429-436 - 2009
- [c88]Nebojsa Jojic, Alessandro Perina, Marco Cristani, Vittorio Murino, Brendan J. Frey:
Stel component analysis: Modeling spatial correlations in image class structure. CVPR 2009: 2044-2051 - [c87]Nevena Lazic, Inmar E. Givoni, Brendan J. Frey, Parham Aarabi:
FLoSS: Facility location for subspace segmentation. ICCV 2009: 825-832 - [c86]Inmar E. Givoni, Brendan J. Frey:
Semi-Supervised Affinity Propagation with Instance-Level Constraints. AISTATS 2009: 161-168 - 2008
- [c85]Jim C. Huang, Brendan J. Frey:
Structured ranking learning using cumulative distribution networks. NIPS 2008: 697-704 - [c84]Jim C. Huang, Brendan J. Frey, Quaid Morris:
Comparing Sequence and Expression for Predicting microRNA Targets Using GenMIR3. Pacific Symposium on Biocomputing 2008: 52-63 - [c83]Delbert Dueck, Brendan J. Frey, Nebojsa Jojic, Vladimir Jojic, Guri Giaever, Andrew Emili, Gabe Musso, Robert Hegele:
Constructing Treatment Portfolios Using Affinity Propagation. RECOMB 2008: 360-371 - [c82]Jim C. Huang, Brendan J. Frey:
Cumulative distribution networks and the derivative-sum-product algorithm. UAI 2008: 290-297 - [c81]Daniel Tarlow, Richard S. Zemel, Brendan J. Frey:
Flexible Priors for Exemplar-based Clustering. UAI 2008: 537-545 - 2007
- [c80]Delbert Dueck, Brendan J. Frey:
Non-metric affinity propagation for unsupervised image categorization. ICCV 2007: 1-8 - [c79]Brendan J. Frey:
Learning in Biomedicine and Bioinformatics Using Affinity Propagation. ICMLA 2007 - [c78]Anitha Kannan, Andrew Emili, Brendan J. Frey:
A Bayesian Model That Links Microarray mRNA Measurements to Mass Spectrometry Protein Measurements. RECOMB 2007: 325-338 - 2006
- [c77]Brendan J. Frey:
Beyond genomics: Detecting codes and signals in the cellular transcriptome [Plenary speakers]. ISIT 2006: x - [c76]Jim C. Huang, Quaid Morris, Brendan J. Frey:
Detecting MicroRNA Targets by Linking Sequence, MicroRNA and Gene Expression Data. RECOMB 2006: 114-129 - [c75]Inmar E. Givoni, Vincent Cheung, Brendan J. Frey:
Matrix Tile Analysis. UAI 2006 - 2005
- [c74]Anitha Kannan, Nebojsa Jojic, Brendan J. Frey:
Generative Model for Layers of Appearance and Deformation. AISTATS 2005: 166-173 - [c73]Steven J. Rennie, Kannan Achan, Brendan J. Frey, Parham Aarabi:
Variational Speech Separation of More Sources than Mixtures. AISTATS 2005: 293-300 - [c72]Vincent Cheung, Brendan J. Frey, Nebojsa Jojic:
Video Epitomes. CVPR (1) 2005: 42-49 - [c71]Kannan Achan, Sam T. Roweis, Aaron Hertzmann, Brendan J. Frey:
A segment based probabilistic generative model of speech. ICASSP (5) 2005: 221-224 - [c70]Delbert Dueck, Quaid Morris, Brendan J. Frey:
Multi-way clustering of microarray data using probabilistic sparse matrix factorization. ISMB (Supplement of Bioinformatics) 2005: 144-151 - [c69]Jim C. Huang, Quaid Morris, Timothy R. Hughes, Brendan J. Frey:
GenXHC: a probabilistic generative model for cross-hybridization compensation in high-density genome-wide microarray data. ISMB (Supplement of Bioinformatics) 2005: 222-231 - [c68]Brendan J. Frey, Delbert Dueck:
Mixture Modeling by Affinity Propagation. NIPS 2005: 379-386 - [c67]Nebojsa Jojic, Vladimir Jojic, Brendan J. Frey, Christopher Meek, David Heckerman:
Using epitomes to model genetic diversity: Rational design of HIV vaccines. NIPS 2005: 587-594 - [c66]Brendan J. Frey, Quaid Morris, Wen Zhang, Naveed Mohammad, Timothy R. Hughes:
GenRate: A Generative Model That Finds and Scores New Genes and Exons in Genomic Microarray Data. Pacific Symposium on Biocomputing 2005 - [c65]Brendan J. Frey, Quaid Morris, Mark D. Robinson, Timothy R. Hughes:
Finding Novel Transcripts in High-Resolution Genome-Wide Microarray Data Using the GenRate Model. RECOMB 2005: 66-82 - 2004
- [c64]Rómer Rosales, Kannan Achan, Brendan J. Frey:
Learning to cluster using local neighborhood structure. ICML 2004 - [c63]Stark C. Draper, Brendan J. Frey, Frank R. Kschischang:
On interacting encoders and decoders in multiuser settings. ISIT 2004: 118 - [c62]Stark C. Draper, Brendan J. Frey, Frank R. Kschischang:
Efficient variable length channel coding for unknown DMCs. ISIT 2004: 377 - [c61]Ofer Shai, Brendan J. Frey, Quaid Morris, Qun Pan, Christine Misquitta, Benjamin J. Blencowe:
Probabilistic Inference of Alternative Splicing Events in Microarray Data. NIPS 2004: 1241-1248 - [c60]Anitha Kannan, Brendan J. Frey, Nebojsa Jojic:
A Generative Model of Dense Optical Flow in Layers. SCVMA 2004: 104-114 - [c59]Yongyi Mao, Frank R. Kschischang, Brendan J. Frey:
Convolutional Factor Graphs as Probabilistic Models. UAI 2004: 374-381 - 2003
- [c58]Nemanja Petrovic, Nebojsa Jojic, Brendan J. Frey, Thomas S. Huang:
Real-time On-line Learning of Transformed Hidden Markov Models from Video. AISTATS 2003: 225-232 - [c57]Brendan J. Frey, Nebojsa Jojic, Anitha Kannan:
Learning Appearance and Transparency Manifolds of Occluded Objects in Layers. CVPR (1) 2003: 45-52 - [c56]Steven J. Rennie, Parham Aarabi, Trausti T. Kristjansson, Brendan J. Frey, Kannan Achan:
Robust variational speech separation using fewer microphones than speakers. ICASSP (1) 2003: 88-91 - [c55]Nebojsa Jojic, Brendan J. Frey, Anitha Kannan:
Epitomic analysis of appearance and shape. ICCV 2003: 34-43 - [c54]Rómer Rosales, Kannan Achan, Brendan J. Frey:
Unsupervised Image Translation. ICCV 2003: 472-478 - [c53]Lei Ying, David C. Munson, Ralf Koetter, Brendan J. Frey:
Multibaseline InSAR terrain elevation estimation: a dynamic programming approach. ICIP (3) 2003: 157-160 - [c52]Steven J. Rennie, Parham Aarabi, Trausti T. Kristjansson, Brendan J. Frey, Kannan Achan:
Robust variational speech separation using fewer microphones than speakers. ICME 2003: 741-744 - [c51]Quaid Morris, Brendan J. Frey:
Denoising and Untangling Graphs Using Degree Priors. NIPS 2003: 385-392 - [c50]Kannan Achan, Sam T. Roweis, Brendan J. Frey:
Probabilistic Inference of Speech Signals from Phaseless Spectrograms. NIPS 2003: 1393-1400 - [c49]Brendan J. Frey:
Extending Factor Graphs so as to Unify Directed and Undirected Graphical Models. UAI 2003: 257-264 - [c48]Rómer Rosales, Brendan J. Frey:
Learning Generative Models of Similarity Matrices. UAI 2003: 485-492 - 2002
- [c47]Chris Pal, Brendan J. Frey, Nebojsa Jojic:
Learning Montages of Transformed Latent Images as Representations of Objects That Change in Appearance. ECCV (4) 2002: 715-731 - [c46]Trausti T. Kristjansson, Brendan J. Frey:
Accounting for uncertainity in observations: A new paradigm for Robust Automatic Speech Recognition. ICASSP 2002: 61-64 - [c45]Chris Pal, Brendan J. Frey, Trausti T. Kristjansson:
Noise robust speech recognition using Gaussian basis functions for non-linear likelihood function approximation. ICASSP 2002: 405-408 - [c44]Lei Ying, David C. Munson, Ralf Koetter, Brendan J. Frey:
An iterative dynamic programming approach to 2-D phase unwrapping. ICIP (3) 2002: 469-471 - [c43]Lei Ying, Brendan J. Frey, Ralf Koetter, David C. Munson:
An iterative dynamic programming approach to 2-D phase unwrapping. IGARSS 2002: 469-471 - [c42]Kannan Achan, Brendan J. Frey, Ralf Koetter, David C. Munson:
Phase unwrapping by minimizing Kikuchi free energy. IGARSS 2002: 1738-1740 - [c41]David C. Schultz, Ralf Koetter, Brendan J. Frey, David C. Munson Jr.:
Balancing rewrapping error and smoothness in two dimensional phase unwrapping problems. IGARSS 2002: 2507-2509 - [c40]Ye-Yi Wang, Alex Acero, Ciprian Chelba, Brendan J. Frey, Leon Wong:
Combination of statistical and rule-based approaches for spoken language understanding. INTERSPEECH 2002: 609-612 - [c39]Anitha Kannan, Nebojsa Jojic, Brendan J. Frey:
Fast Transformation-Invariant Factor Analysis. NIPS 2002: 1263-1270 - 2001
- [c38]Nebojsa Jojic, Patrice Y. Simard, Brendan J. Frey, David Heckerman:
Learning mixtures of smooth, nonuniform deformation models for probabilistic image matching. AISTATS 2001: 137-142 - [c37]Nebojsa Jojic, Brendan J. Frey:
Learning Flexible Sprites in Video Layers. CVPR (1) 2001: 199-206 - [c36]Nemanja Petrovic, Ira Cohen, Brendan J. Frey, Ralf Koetter, Thomas S. Huang:
Enforcing Integrability for Surface Reconstruction Algorithms Using Belief Propagation in Graphical Models. CVPR (1) 2001: 743-748 - [c35]Trausti T. Kristjansson, Brendan J. Frey, Li Deng, Alex Acero:
Towards non-stationary model-based noise adaptation for large vocabulary speech recognition. ICASSP 2001: 337-340 - [c34]Ralf Koetter, Brendan J. Frey, Nemanja Petrovic, David C. Munson Jr.:
Unwrapping phase images by propagating probabilities across graphs. ICASSP 2001: 1845-1848 - [c33]Kannan Achan, Brendan J. Frey, Ralf Koetter, David C. Munson Jr.:
Unwrapping phases by relaxed mean field inference. ICASSP 2001: 1901-1904 - [c32]Nebojsa Jojic, Patrice Y. Simard, Brendan J. Frey, David Heckerman:
Separating Appearance from Deformation. ICCV 2001: 288-294 - [c31]Brendan J. Frey, Li Deng, Alex Acero, Trausti T. Kristjansson:
ALGONQUIN: iterating laplace's method to remove multiple types of acoustic distortion for robust speech recognition. INTERSPEECH 2001: 901-904 - [c30]Brendan J. Frey, Ralf Koetter, Nemanja Petrovic:
"Codes" on images and iterative phase unwrapping. ITW 2001: 9-11 - [c29]Brendan J. Frey, Nebojsa Jojic:
Fast, Large-Scale Transformation-Invariant Clustering. NIPS 2001: 721-727 - [c28]Brendan J. Frey, Anitha Kannan, Nebojsa Jojic:
Product Analysis: Learning to Model Observations as Products of Hidden Variables. NIPS 2001: 729-735 - [c27]Brendan J. Frey, Ralf Koetter, Nemanja Petrovic:
Very loopy belief propagation for unwrapping phase images. NIPS 2001: 737-743 - [c26]Brendan J. Frey, Trausti T. Kristjansson, Li Deng, Alex Acero:
ALGONQUIN - Learning Dynamic Noise Models From Noisy Speech for Robust Speech Recognition. NIPS 2001: 1165-1171 - [c25]Kannan Achan, Brendan J. Frey, Ralf Koetter:
A Factorized Variational Technique for Phase Unwrapping in Markov Random Field. UAI 2001: 1-6 - 2000
- [c24]Brendan J. Frey:
Filling In Scenes by Propagating Probabilities through Layers and Into Appearance Models. CVPR 2000: 1185-1192 - [c23]Nebojsa Jojic, Nemanja Petrovic, Thomas S. Huang, Brendan J. Frey:
Transformed Hidden Markov Models: Estimating Mixture Models of Images and Inferring Spatial Transformations in Video Sequence. CVPR 2000: 2026-2033 - [c22]Trausti T. Kristjansson, Brendan J. Frey, Thomas S. Huang:
Event-Coupled Hidden Markov Models. IEEE International Conference on Multimedia and Expo (I) 2000: 385-388 - [c21]Milind R. Naphade, Lawrence S. Chen, Thomas S. Huang, Brendan J. Frey:
Learning Sparse Multiple Cause Models. ICPR 2000: 2642-2647 - [c20]Brendan J. Frey, Anitha Kannan:
Accumulator Networks: Suitors of Local Probability Propagation. NIPS 2000: 486-492 - [c19]Brendan J. Frey, Relu Patrascu, Tommi S. Jaakkola, Jodi Moran:
Sequentially Fitting "Inclusive" Trees for Inference in Noisy-OR Networks. NIPS 2000: 493-499 - [c18]Trausti T. Kristjansson, Brendan J. Frey:
Keeping Flexible Active Contours on Track using Metropolis Updates. NIPS 2000: 859-865 - [c17]Brendan J. Frey, Nebojsa Jojic:
Learning Graphical Models of Images, Videos and Their Spatial Transformations. UAI 2000: 184-191 - 1999
- [c16]Brendan J. Frey, Nebojsa Jojic:
Estimating Mixture Models of Images and Inferring Spatial Transformations Using the EM Algorithm. CVPR 1999: 1416-1422 - [c15]Antonio Colmenarez, Brendan J. Frey, Thomas S. Huang:
A Probabilistic Framework for Embedded Face and Facial Expression Recognition. CVPR 1999: 1592-1597 - [c14]Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huang:
Time-Series Classification Using Mixed-State Dynamic Bayesian Networks. CVPR 1999: 2609- - [c13]Brendan J. Frey, Nebojsa Jojic:
Transformed Component Analysis: Joint Estimation of Spatial Transformations and Image Components. ICCV 1999: 1190-1196 - [c12]Antonio Colmenarez, Brendan J. Frey, Thomas S. Huang:
Embedded Face and Facial Expression Recognition. ICIP (1) 1999: 633-637 - [c11]Antonio Colmenarez, Brendan J. Frey, Thomas S. Huang:
Detection and Tracking of Faces and Facial Features. ICIP (1) 1999: 657-661 - [c10]Brendan J. Frey:
Local Probability Propagation for Factor Analysis. NIPS 1999: 442-448 - [c9]Nebojsa Jojic, Brendan J. Frey:
Topographic Transformation as a Discrete Latent Variable. NIPS 1999: 477-483 - [c8]Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huang:
Variational Learning in Mixed-State Dynamic Graphical Models. UAI 1999: 522-530 - 1998
- [c7]Brendan J. Frey, Antonio Colmenarez, Thomas S. Huang:
Mixtures of Local Linear Subspaces for Face Recognition. CVPR 1998: 32-37 - [c6]Milind R. Naphade, Trausti T. Kristjansson, Brendan J. Frey, Thomas S. Huang:
Probabalistic Multimedia Objects (Multijects): A Novel Approach to Video Indexing and Retrieval in Multimedia Systems. ICIP (3) 1998: 536-540 - 1997
- [c5]Brendan J. Frey:
Variational Inference for continuous Sigmoidal Bayesian Networks. AISTATS 1997: 211-222 - [c4]Brendan J. Frey, David J. C. MacKay:
A Revolution: Belief Propagation in Graphs with Cycles. NIPS 1997: 479-485 - 1996
- [c3]Brendan J. Frey, Geoffrey E. Hinton:
Free Energy Coding. Data Compression Conference 1996: 73-81 - [c2]Brendan J. Frey:
Continuous Sigmoidal Belief Networks Trained using Slice Sampling. NIPS 1996: 452-458 - 1995
- [c1]Brendan J. Frey, Geoffrey E. Hinton, Peter Dayan:
Does the Wake-sleep Algorithm Produce Good Density Estimators? NIPS 1995: 661-667
Parts in Books or Collections
- 2013
- [p2]Jeroen C. Chua, Inmar E. Givoni, Ryan P. Adams, Brendan J. Frey:
Bayesian Painting by Numbers: Flexible Priors for Colour-Invariant Object Recognition. Machine Learning for Computer Vision 2013: 89-117 - 2011
- [p1]Jim C. Huang, Brendan J. Frey:
STORMSeq: A Method for Ranking Regulatory Sequences by Integrating Experimental Datasets with Diverse Computational Predictions. Handbook of Statistical Bioinformatics 2011: 109-134
Editorship
- 2003
- [e1]Christopher M. Bishop, Brendan J. Frey:
Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, AISTATS 2003, Key West, Florida, USA, January 3-6, 2003. Society for Artificial Intelligence and Statistics 2003, ISBN 0-9727358-0-1 [contents]
Informal and Other Publications
- 2023
- [i19]Philip Fradkin, Ruian Shi, Bo Wang, Brendan J. Frey, Leo J. Lee:
Splicing Up Your Predictions with RNA Contrastive Learning. CoRR abs/2310.08738 (2023) - 2017
- [i18]Alireza Makhzani, Brendan J. Frey:
PixelGAN Autoencoders. CoRR abs/1706.00531 (2017) - [i17]Nathan Killoran, Leo J. Lee, Andrew Delong, David Duvenaud, Brendan J. Frey:
Generating and designing DNA with deep generative models. CoRR abs/1712.06148 (2017) - 2015
- [i16]Jimmy Ba, Roger B. Grosse, Ruslan Salakhutdinov, Brendan J. Frey:
Learning Wake-Sleep Recurrent Attention Models. CoRR abs/1509.06812 (2015) - [i15]Oren Z. Kraus, Lei Jimmy Ba, Brendan J. Frey:
Classifying and Segmenting Microscopy Images Using Convolutional Multiple Instance Learning. CoRR abs/1511.05286 (2015) - 2014
- [i14]Siamak Ravanbakhsh, Russell Greiner, Brendan J. Frey:
Training Restricted Boltzmann Machine by Perturbation. CoRR abs/1405.1436 (2014) - [i13]Alireza Makhzani, Brendan J. Frey:
A Winner-Take-All Method for Training Sparse Convolutional Autoencoders. CoRR abs/1409.2752 (2014) - 2013
- [i12]Kannan Achan, Brendan J. Frey, Ralf Koetter:
A Factorized Variational Technique for Phase Unwrapping in Markov Random Fields. CoRR abs/1301.2252 (2013) - [i11]Brendan J. Frey, Nebojsa Jojic:
Learning Graphical Models of Images, Videos and Their Spatial Transformations. CoRR abs/1301.3854 (2013) - [i10]Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huang:
Variational Learning in Mixed-State Dynamic Graphical Models. CoRR abs/1301.6731 (2013) - 2012
- [i9]Inmar E. Givoni, Clement Chung, Brendan J. Frey:
Hierarchical Affinity Propagation. CoRR abs/1202.3722 (2012) - [i8]Jim C. Huang, Brendan J. Frey:
Cumulative distribution networks and the derivative-sum-product algorithm. CoRR abs/1206.3259 (2012) - [i7]Daniel Tarlow, Richard S. Zemel, Brendan J. Frey:
Flexible Priors for Exemplar-based Clustering. CoRR abs/1206.3294 (2012) - [i6]Inmar E. Givoni, Vincent Cheung, Brendan J. Frey:
Matrix Tile Analysis. CoRR abs/1206.6833 (2012) - [i5]Yongyi Mao, Frank R. Kschischang, Brendan J. Frey:
Convolutional Factor Graphs as Probabilistic Models. CoRR abs/1207.4136 (2012) - [i4]Daniel Tarlow, Kevin Swersky, Richard S. Zemel, Ryan Prescott Adams, Brendan J. Frey:
Fast Exact Inference for Recursive Cardinality Models. CoRR abs/1210.4899 (2012) - [i3]Brendan J. Frey:
Extending Factor Graphs so as to Unify Directed and Undirected Graphical Models. CoRR abs/1212.2486 (2012) - [i2]Rómer Rosales, Brendan J. Frey:
Learning Generative Models of Similarity Matrices. CoRR abs/1212.2494 (2012) - 2011
- [i1]Daniel Tarlow, Inmar E. Givoni, Richard S. Zemel, Brendan J. Frey:
Interpreting Graph Cuts as a Max-Product Algorithm. CoRR abs/1105.1178 (2011)
Coauthor Index
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