Jeffrey A. Bilmes
Jeffrey A. Bilmes
Professor of Electrical Engineering and Computer Science, University of Washington Seattle
Verifierad e-postadress på - Startsida
TitelCiteras avÅr
A gentle tutorial of the EM algorithm and its application to parameter estimation for Gaussian mixture and hidden Markov models
JA Bilmes
International Computer Science Institute 4 (510), 126, 1998
Optimizing matrix multiply using PHiPAC: a portable, high-performance, ANSI C coding methodology
J Bilmes, K Asanovic, CW Chin, J Demmel
International Conference on Supercomputing 27, 1997
Deep canonical correlation analysis
G Andrew, R Arora, J Bilmes, K Livescu
International conference on machine learning, 1247-1255, 2013
A class of submodular functions for document summarization
H Lin, J Bilmes
Proceedings of the 49th Annual Meeting of the Association for Computational …, 2011
Unsupervised pattern discovery in human chromatin structure through genomic segmentation
MM Hoffman, OJ Buske, J Wang, Z Weng, JA Bilmes, WS Noble
Nature methods 9 (5), 473, 2012
Integrative annotation of chromatin elements from ENCODE data
MM Hoffman, J Ernst, SP Wilder, A Kundaje, RS Harris, M Libbrecht, ...
Nucleic acids research 41 (2), 827-841, 2012
Factored language models and generalized parallel backoff
JA Bilmes, K Kirchhoff
Proceedings of the 2003 Conference of the North American Chapter of the …, 2003
Multi-document summarization via budgeted maximization of submodular functions
H Lin, J Bilmes
Human Language Technologies: The 2010 Annual Conference of the North …, 2010
What HMMs can do
JA Bilmes
IEICE TRANSACTIONS on Information and Systems 89 (3), 869-891, 2006
On deep multi-view representation learning
W Wang, R Arora, K Livescu, J Bilmes
International Conference on Machine Learning, 1083-1092, 2015
The graphical models toolkit: An open source software system for speech and time-series processing
J Bilmes, G Zweig
2002 IEEE International Conference on Acoustics, Speech, and Signal …, 2002
MVA processing of speech features
CP Chen, JA Bilmes
IEEE Transactions on Audio, Speech, and Language Processing 15 (1), 257-270, 2006
Transmembrane topology and signal peptide prediction using dynamic bayesian networks
SM Reynolds, L Käll, ME Riffle, JA Bilmes, WS Noble
PLoS computational biology 4 (11), e1000213, 2008
Dynamic bayesian multinets
JA Bilmes
Proceedings of the Sixteenth conference on Uncertainty in artificial …, 2000
Timing is of the Essence: Perceptual and Computational Techniques for Representing, Learning, and Reproducing Expressive Timing in Percussive Rhythm
JA Bilmes
Submodularity beyond submodular energies: coupling edges in graph cuts
S Jegelka, J Bilmes
CVPR 2011, 1897-1904, 2011
A review of graphical model architectures for speech recognition
J Bilmes, C Bartels
IEEE signal processing magazine 22 (5), 89-100, 2005
Graphical models and automatic speech recognition
JA Bilmes
Mathematical foundations of speech and language processing, 191-245, 2004
Submodular optimization with submodular cover and submodular knapsack constraints
RK Iyer, JA Bilmes
Advances in Neural Information Processing Systems, 2436-2444, 2013
Statistical models for empirical search-based performance tuning
R Vuduc, JW Demmel, JA Bilmes
The International Journal of High Performance Computing Applications 18 (1 …, 2004
Systemet kan inte utföra åtgärden just nu. Försök igen senare.
Artiklar 1–20