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
Proceedings of the 11th international conference on Supercomputing, 340-347, 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
Factored language models and generalized parallel backoff
JA Bilmes, K Kirchhoff
Proceedings of the 2003 Conference of the North American Chapter of the …, 2003
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
What HMMs can do
JA Bilmes
IEICE TRANSACTIONS on Information and Systems 89 (3), 869-891, 2006
The graphical models toolkit: An open source software system for speech and time-series processing
J Bilmes, G Zweig
Proceedings of International Conference on Acoustics, Speech and Signal …, 2002
Multi-document summarization via budgeted maximization of submodular functions
H Lin, J Bilmes
Human Language Technologies: The 2010 Annual Conference of the North …, 2010
MVA processing of speech features
CP Chen, JA Bilmes
IEEE Transactions on Audio, Speech, and Language Processing 15 (1), 257-270, 2007
On deep multi-view representation learning
W Wang, R Arora, K Livescu, J Bilmes
International Conference on Machine Learning, 1083-1092, 2015
Dynamic bayesian multinets
JA Bilmes
Proceedings of the Sixteenth conference on Uncertainty in artificial …, 2000
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
Graphical model architectures for speech recognition
JA Bilmes, C Bartels
IEEE signal processing magazine 22 (5), 89-100, 2005
Submodularity beyond submodular energies: coupling edges in graph cuts
S Jegelka, J Bilmes
IEEE, 2011
Graphical models and automatic speech recognition
JA Bilmes
Mathematical foundations of speech and language processing, 191-245, 2004
Timing is of the Essence: Perceptual and Computational Techniques for Representing, Learning, and Reproducing Expressive Timing in Percussive Rhythm
JA Bilmes
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
Novel approaches to Arabic speech recognition: report from the 2002 Johns-Hopkins summer workshop
K Kirchhoff, J Bilmes, S Das, N Duta, M Egan, G Ji, F He, J Henderson, ...
Acoustics, Speech, and Signal Processing, 2003. Proceedings.(ICASSP'03 …, 2003
Systemet kan inte utföra åtgärden just nu. Försök igen senare.
Artiklar 1–20