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Jeff A. Bilmes Vis

Jeff Bilmes

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*2009
56EEAndrew Guillory, Jeff A. Bilmes: Average-Case Active Learning with Costs. ALT 2009: 141-155
55EEBrandi House, Jonathan Malkin, Jeff Bilmes: The VoiceBot: a voice controlled robot arm. CHI 2009: 183-192
54EESusumu Harada, Jacob O. Wobbrock, Jonathan Malkin, Jeff A. Bilmes, James A. Landay: Longitudinal study of people learning to use continuous voice-based cursor control. CHI 2009: 347-356
53EESheila M. Reynolds, Jeff A. Bilmes, William Stafford Noble: On the Relationship between DNA Periodicity and Local Chromatin Structure. RECOMB 2009: 434-450
52EEAndrew Guillory, Jeff Bilmes: Average-Case Active Learning with Costs CoRR abs/0905.2997: (2009)
51EEFranz Pernkopf, Tuan Van Pham, Jeff A. Bilmes: Broad phonetic classification using discriminative Bayesian networks. Speech Communication 51(2): 151-166 (2009)
2008
50 William Pentney, Matthai Philipose, Jeff A. Bilmes: Structure Learning on Large Scale Common Sense Statistical Models of Human State. AAAI 2008: 1389-1395
49 Danny Wyatt, Tanzeem Choudhury, Jeff A. Bilmes: Learning Hidden Curved Exponential Family Models to Infer Face-to-Face Interaction Networks from Situated Speech Data. AAAI 2008: 732-738
48EEAmarnag Subramanya, Jeff Bilmes: Soft-Supervised Learning for Text Classification. EMNLP 2008: 1090-1099
47EEAaron A. Klammer, Sheila M. Reynolds, Jeff A. Bilmes, Michael J. MacCoss, William Stafford Noble: Modeling peptide fragmentation with dynamic Bayesian networks for peptide identification. ISMB 2008: 348-356
46EEDanny Wyatt, Jeff A. Bilmes, Tanzeem Choudhury, James A. Kitts: Towards the automated social analysis of situated speech data. UbiComp 2008: 168-171
2007
45 William Pentney, Matthai Philipose, Jeff A. Bilmes, Henry A. Kautz: Learning Large Scale Common Sense Models of Everyday Life. AAAI 2007: 465-470
44EEBrandi House, Jonathan Malkin, Jeff Bilmes: Demo of VJ-Voicebot: control of robotic arm with the Vocal Joystick. ASSETS 2007: 247-248
43EEAmarnag Subramanya, Jeff A. Bilmes: Virtual Evidence for Training Speech Recognizers Using Partially Labeled Data. HLT-NAACL (Short Papers) 2007: 165-168
42EEKarim Filali, Jeff A. Bilmes: Generalized Graphical Abstractions for Statistical Machine Translation. HLT-NAACL (Short Papers) 2007: 33-36
41EEKatherine Everitt, Susumu Harada, Jeff A. Bilmes, James A. Landay: Disambiguating speech commands using physical context. ICMI 2007: 247-254
40EEDanny Wyatt, Tanzeem Choudhury, Jeff Bilmes, Henry A. Kautz: A Privacy-Sensitive Approach to Modeling Multi-Person Conversations. IJCAI 2007: 1769-1775
39EEMukund Narasimhan, Jeff Bilmes: Local Search for Balanced Submodular Clusterings. IJCAI 2007: 981-986
38EEChia-Ping Chen, Jeff A. Bilmes: MVA Processing of Speech Features. IEEE Transactions on Audio, Speech & Language Processing 15(1): 257-270 (2007)
2006
37 Robert C. Moore, Jeff A. Bilmes, Jennifer Chu-Carroll, Mark Sanderson: Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, June 4-9, 2006, New York, New York, USA The Association for Computational Linguistics 2006
36EESusumu Harada, James A. Landay, Jonathan Malkin, Xiao Li, Jeff A. Bilmes: The vocal joystick: : evaluation of voice-based cursor control techniques. ASSETS 2006: 197-204
35EEGang Ji, Jeff Bilmes: Backoff Model Training using Partially Observed Data: Application to Dialog Act Tagging. HLT-NAACL 2006
34EEAlvin Raj, Amarnag Subramanya, Dieter Fox, Jeff A. Bilmes: Rao-Blackwellized Particle Filters for Recognizing Activities and Spatial Context from Wearable Sensors. ISER 2006: 211-221
33EEKarim Filali, Jeff A. Bilmes: Multi-dynamic Bayesian Networks. NIPS 2006: 409-416
32EEChris Bartels, Jeff A. Bilmes: Non-Minimal Triangulations for Mixed Stochastic/Deterministic Graphical Models. UAI 2006
31EEAmar Subramanya, Alvin Raj, Jeff A. Bilmes, Dieter Fox: Recognizing Activities and Spatial Context Using Wearable Sensors. UAI 2006
30EEKatrin Kirchhoff, Dimitra Vergyri, Jeff Bilmes, Kevin Duh, Andreas Stolcke: Morphology-based language modeling for conversational Arabic speech recognition. Computer Speech & Language 20(4): 589-608 (2006)
29EEKarim Filali, Xiao Li, Jeff Bilmes: Algorithms for data-driven ASR parameter quantization. Computer Speech & Language 20(4): 625-643 (2006)
28EEXiao Li, Jonathan Malkin, Jeff A. Bilmes: A high-speed, low-resource ASR back-end based on custom arithmetic. IEEE Transactions on Audio, Speech & Language Processing 14(5): 1683-1693 (2006)
27EEJeff A. Bilmes: What HMMs Can Do. IEICE Transactions 89-D(3): 869-891 (2006)
2005
26EEKarim Filali, Jeff Bilmes: A Dynamic Bayesian Framework to Model Context and Memory in Edit Distance Learning: An Application to Pronunciation Classification. ACL 2005
25EESheila M. Reynolds, Jeff A. Bilmes: Part-of-Speech Tagging using Virtual Evidence and Negative Training. HLT/EMNLP 2005
24EEJeff A. Bilmes, Xiao Li, Jonathan Malkin, Kelley Kilanski, Richard Wright, Katrin Kirchhoff, Amar Subramanya, Susumu Harada, James A. Landay, Patricia Dowden, Howard Chizeck: The Vocal Joystick: A Voice-Based Human-Computer Interface for Individuals with Motor Impairments. HLT/EMNLP 2005
23EEYi Li, Linda G. Shapiro, Jeff A. Bilmes: A Generative/Discriminative Learning Algorithm for Image Classification. ICCV 2005: 1605-1612
22EEFranz Pernkopf, Jeff A. Bilmes: Discriminative versus generative parameter and structure learning of Bayesian network classifiers. ICML 2005: 657-664
21EEMukund Narasimhan, Nebojsa Jojic, Jeff Bilmes: Q-Clustering. NIPS 2005
20EEMukund Narasimhan, Jeff A. Bilmes: A Submodular-supermodular Procedure with Applications to Discriminative Structure Learning. UAI 2005: 404-412
2004
19EEYi Li, Jeff A. Bilmes, Linda G. Shapiro: Object Class Recognition using Images of Abstract Regions. ICPR (1) 2004: 40-43
18EEMukund Narasimhan, Jeff A. Bilmes: Optimal sub-graphical models. NIPS 2004
17EEMukund Narasimhan, Jeff A. Bilmes: PAC-learning Bounded Tree-width Graphical Models. UAI 2004: 410-417
2003
16EEJeff Bilmes, Katrin Kirchhoff: Factored Language Models and Generalized Parallel Backoff. HLT-NAACL 2003
15EEGang Ji, Jeff A. Bilmes: Necessary Intransitive Likelihood-Ratio Classifiers. NIPS 2003
14 Jeff A. Bilmes, Chris Bartels: On Triangulating Dynamic Graphical Models. UAI 2003: 47-56
13EEMartin J. Russell, Jeff A. Bilmes: Introduction to the special issue on new computational paradigms for acoustic modeling in speech recognition. Computer Speech & Language 17(2-3): 107-112 (2003)
12EEJeff A. Bilmes: Buried Markov models: a graphical-modeling approach to automatic speech recognition. Computer Speech & Language 17(2-3): 213-231 (2003)
11EEJeff Bilmes, Katrin Kirchhoff: Generalized rules for combination and joint training of classifiers. Pattern Anal. Appl. 6(3): 201-211 (2003)
10EEMatthew Richardson, Jeff Bilmes, Chris Diorio: Hidden-articulator Markov models for speech recognition. Speech Communication 41(2-3): 511-529 (2003)
2001
9EERich Vuduc, James Demmel, Jeff Bilmes: Statistical Models for Automatic Performance Tuning. International Conference on Computational Science (1) 2001: 117-126
8EEJeff Bilmes, Gang Ji, Marina Meila: Intransitive Likelihood-Ratio Classifiers. NIPS 2001: 1141-1148
2000
7EEJeff Bilmes: Dynamic Bayesian Multinets. UAI 2000: 38-45
1997
6EEJeff Bilmes, Krste Asanovic, Chee-Whye Chin, James Demmel: Optimizing Matrix Multiply Using PHiPAC: A Portable, High-Performance, ANSI C Coding Methodology. International Conference on Supercomputing 1997: 340-347
1992
5 Nelson Morgan, James Beck, Phil Kohn, Jeff Bilmes, Eric Allman, Joachim Beer: The Ring Array Processor: A Multiprocessing Peripheral for Connection Applications. J. Parallel Distrib. Comput. 14(3): 248-259 (1992)
1991
4 David P. Anderson, Jeff A. Bilmes: Concurrent Real-Time Music in C++. C++ Conference 1991: 147-162
3EEPhil Kohn, Jeff Bilmes, Nelson Morgan, James Beck: Software for ANN Training on a Ring Array Processor. NIPS 1991: 781-788
2EEOliver Günther, Jeff Bilmes: Tree-Based Access Methods for Spatial Databases: Implementation and Performance Evaluation. IEEE Trans. Knowl. Data Eng. 3(3): 342-356 (1991)
1989
1 Oliver Günther, Jeff Bilmes: The Implementation of the Cell Tree: Design Alternatives and Performance Evaluation. BTW 1989: 246-265

Coauthor Index

1Eric Allman [5]
2David P. Anderson [4]
3Krste Asanovic [6]
4Chris Bartels [14] [32]
5James Beck [3] [5]
6Joachim Beer [5]
7Chia-Ping Chen [38]
8Chee-Whye Chin [6]
9Howard Chizeck [24]
10Tanzeem Choudhury [40] [46] [49]
11Jennifer Chu-Carroll [37]
12James Demmel [6] [9]
13Chris Diorio [10]
14Patricia Dowden [24]
15Kevin Duh [30]
16Katherine Everitt [41]
17Karim Filali [26] [29] [33] [42]
18Dieter Fox [31] [34]
19Andrew Guillory [52] [56]
20Oliver Günther [1] [2]
21Susumu Harada [24] [36] [41] [54]
22Brandi House [44] [55]
23Gang Ji [8] [15] [35]
24Nebojsa Jojic [21]
25Henry A. Kautz [40] [45]
26Kelley Kilanski [24]
27Katrin Kirchhoff [11] [16] [24] [30]
28James A. Kitts [46]
29Aaron A. Klammer [47]
30Phil Kohn [3] [5]
31James A. Landay [24] [36] [41] [54]
32Xiao Li [24] [28] [29] [36]
33Yi Li [19] [23]
34Michael J. MacCoss [47]
35Jonathan Malkin [24] [28] [36] [44] [54] [55]
36Marina Meila [8]
37Robert C. Moore [37]
38Nelson Morgan [3] [5]
39Mukund Narasimhan [17] [18] [20] [21] [39]
40William Stafford Noble [47] [53]
41William Pentney [45] [50]
42Franz Pernkopf [22] [51]
43Tuan Van Pham [51]
44Matthai Philipose [45] [50]
45Alvin Raj [31] [34]
46Sheila M. Reynolds [25] [47] [53]
47Matthew Richardson [10]
48Martin J. Russell [13]
49Mark Sanderson [37]
50Linda G. Shapiro [19] [23]
51Andreas Stolcke [30]
52Amar Subramanya [24] [31]
53Amarnag Subramanya [34] [43] [48]
54Dimitra Vergyri [30]
55Richard W. Vuduc (Rich Vuduc) [9]
56Jacob O. Wobbrock [54]
57Richard Wright [24]
58Danny Wyatt [40] [46] [49]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)