Jeff A. Bilmes

Jeff Bilmes

	2012
134		Andrew Guillory, Jeff A. Bilmes: Active Semi-Supervised Learning using Submodular Functions CoRR abs/1202.3726: (2012)
133		Alex Stupakov, Evan Hanusa, Deepak Vijaywargi, Dieter Fox, Jeff Bilmes: The design and collection of COSINE, a multi-microphone in situ speech corpus recorded in noisy environments. Computer Speech & Language 26(1): 52-66 (2012)
132		Ajit Singh, Andrew Guillory, Jeff Bilmes: On Bisubmodular Maximization. Journal of Machine Learning Research - Proceedings Track 22: 1055-1063 (2012)
131		Galen Andrew, Jeff Bilmes: Memory-efficient inference in dynamic graphical models using multiple cores. Journal of Machine Learning Research - Proceedings Track 22: 47-53 (2012)
	2011
130		Hui Lin, Jeff Bilmes: A Class of Submodular Functions for Document Summarization. ACL 2011: 510-520
129		Hui Lin, Jeff Bilmes: Word Alignment via Submodular Maximization over Matroids. ACL (Short Papers) 2011: 170-175
128		Stefanie Jegelka, Jeff Bilmes: Submodularity beyond submodular energies: Coupling edges in graph cuts. CVPR 2011: 1897-1904
127		Stefanie Jegelka, Jeff Bilmes: Online Submodular Minimization for Combinatorial Structures. ICML 2011: 345-352
126		Andrew Guillory, Jeff Bilmes: Simultaneous Learning and Covering with Adversarial Noise. ICML 2011: 369-376
125		Stefanie Jegelka, Jeff Bilmes: Approximation Bounds for Inference using Cooperative Cuts. ICML 2011: 577-584
124		Hui Lin, Jeff A. Bilmes: Optimal Selection of Limited Vocabulary Speech Corpora. INTERSPEECH 2011: 1489-1492
123		Andrew Guillory, Jeff A. Bilmes: Online Submodular Set Cover, Ranking, and Repeated Active Learning. NIPS 2011: 1107-1115
122		Stefanie Jegelka, Hui Lin, Jeff A. Bilmes: On fast approximate submodular minimization. NIPS 2011: 460-468
121		Andrew Guillory, Jeff Bilmes: Active Semi-Supervised Learning using Submodular Functions. UAI 2011: 274-282
120		Danny Wyatt, Tanzeem Choudhury, Jeff A. Bilmes, James A. Kitts: Inferring colocation and conversation networks from privacy-sensitive audio with implications for computational social science. ACM TIST 2(1): 7 (2011)
119		Zafer Aydin, Ajit Singh, Jeff Bilmes, William Stafford Noble: Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure. BMC Bioinformatics 12: 154 (2011)
118		Jonathan Malkin, Xiao Li, Susumu Harada, James A. Landay, Jeff Bilmes: The Vocal Joystick Engine v1.0. Computer Speech & Language 25(3): 535-555 (2011)
117		Amarnag Subramanya, Jeff Bilmes: Semi-Supervised Learning with Measure Propagation. Journal of Machine Learning Research 12: 3311-3370 (2011)
116		Chris D. Bartels, Jeff A. Bilmes: Creating non-minimal triangulations for use in inference in mixed stochastic/deterministic graphical models. Machine Learning 84(3): 249-289 (2011)
	2010
115		Danny Wyatt, Tanzeem Choudhury, Jeff Bilmes: Discovering Long Range Properties of Social Networks with Multi-Valued Time-Inhomogeneous Models. AAAI 2010
114		Hui Lin, Jeff Bilmes: Multi-document Summarization via Budgeted Maximization of Submodular Functions. HLT-NAACL 2010: 912-920
113		Tetsuya Takiguchi, Jeff Bilmes, Mariko Yoshii, Yasuo Ariki: Evaluation of random-projection-based feature combination on speech recognition. ICASSP 2010: 2150-2153
112		Gang Ji, Jeff Bilmes: Jointly recognizing multi-speaker conversations. ICASSP 2010: 5110-5113
111		Andrew Guillory, Jeff Bilmes: Interactive Submodular Set Cover. ICML 2010: 415-422
110		Jeff Bilmes, Hui Lin: Online adaptive learning for speech recognition decoding. INTERSPEECH 2010: 1958-1961
109		Jonathan Malkin, Jeff A. Bilmes: Semi-supervised learning for improved expression of uncertainty in discriminative classifiers. INTERSPEECH 2010: 2990-2993
108		Sheila M. Reynolds, Zhiping Weng, Jeff A. Bilmes, William Stafford Noble: Predicting Nucleosome Positioning Using Multiple Evidence Tracks. RECOMB 2010: 441-455
107		Mausam, Stephen Soderland, Oren Etzioni, Daniel S. Weld, Kobi Reiter, Michael Skinner, Marcus Sammer, Jeff Bilmes: Panlingual lexical translation via probabilistic inference. Artif. Intell. 174(9-10): 619-637 (2010)
106		Xiaoyu Chen, Michael M. Hoffman, Jeff A. Bilmes, Jay R. Hesselberth, William Stafford Noble: A dynamic Bayesian network for identifying protein-binding footprints from single molecule-based sequencing data. Bioinformatics [ISMB] 26(12): 334-342 (2010)
105		Andrew Guillory, Jeff A. Bilmes: Interactive Submodular Set Cover CoRR abs/1002.3345: (2010)
104		Chris D. Bartels, Jeff A. Bilmes: Graphical models for integrating syllabic information. Computer Speech & Language 24(4): 685-697 (2010)
103		Franz Pernkopf, Jeff A. Bilmes: Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers. Journal of Machine Learning Research 11: 2323-2360 (2010)
102		Sheila M. Reynolds, Jeff A. Bilmes, William Stafford Noble: Learning a Weighted Sequence Model of the Nucleosome Core and Linker Yields More Accurate Predictions in Saccharomyces cerevisiae and Homo sapiens. PLoS Computational Biology 6(7): (2010)
	2009
101		Jeff Bilmes, Andrew Y. Ng: UAI 2009, Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence, Montreal, QC, Canada, June 18-21, 2009 AUAI Press 2009
100		Mausam, Stephen Soderland, Oren Etzioni, Daniel S. Weld, Michael Skinner, Jeff Bilmes: Compiling a Massive, Multilingual Dictionary via Probabilistic Inference. ACL/AFNLP 2009: 262-270
99		Andrew Guillory, Jeff A. Bilmes: Average-Case Active Learning with Costs. ALT 2009: 141-155
98		Brandi House, Jonathan Malkin, Jeff Bilmes: The VoiceBot: a voice controlled robot arm. CHI 2009: 183-192
97		Susumu 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
96		Alex Stupakov, Evan Hanusa, Jeff A. Bilmes, Dieter Fox: COSINE - A corpus of multi-party COnversational Speech In Noisy Environments. ICASSP 2009: 4153-4156
95		Jonathan Malkin, Jeff Bilmes: Multi-layer ratio Semi-Definite Classifiers. ICASSP 2009: 4465-4468
94		Ning Ma, Chris D. Bartels, Jeff A. Bilmes, Phil Green: Modelling the prepausal lengthening effect for speech recognition: a dynamic Bayesian network approach. ICASSP 2009: 4617-4620
93		Hui Lin, Alex Stupakov, Jeff Bilmes: Improving multi-lattice alignment based spoken keyword spotting. ICASSP 2009: 4877-4880
92		Amarnag Subramanya, Jeff Bilmes: The semi-supervised switchboard transcription project. INTERSPEECH 2009: 1915-1918
91		Hui Lin, Jeff Bilmes, Koby Crammer: How to loose confidence: probabilistic linear machines for multiclass classification. INTERSPEECH 2009: 2559-2562
90		Hui Lin, Jeff Bilmes: How to select a good training-data subset for transcription: submodular active selection for sequences. INTERSPEECH 2009: 2859-2862
89		Jonathan Malkin, Amarnag Subramanya, Jeff Bilmes: On the semi-supervised learning of multi-layered perceptrons. INTERSPEECH 2009: 660-663
88		Amarnag Subramanya, Jeff A. Bilmes: Entropic Graph Regularization in Non-Parametric Semi-Supervised Classification. NIPS 2009: 1803-1811
87		Andrew Guillory, Jeff A. Bilmes: Label Selection on Graphs. NIPS 2009: 691-699
86		Yoshinobu Kawahara, Kiyohito Nagano, Koji Tsuda, Jeff A. Bilmes: Submodularity Cuts and Applications. NIPS 2009: 916-924
85		Sheila M. Reynolds, Jeff A. Bilmes, William Stafford Noble: On the Relationship between DNA Periodicity and Local Chromatin Structure. RECOMB 2009: 434-450
84		Andrew Guillory, Jeff Bilmes: Average-Case Active Learning with Costs CoRR abs/0905.2997: (2009)
83		Andrew Guillory, Erick Chastain, Jeff Bilmes: Active Learning as Non-Convex Optimization. Journal of Machine Learning Research - Proceedings Track 5: 201-208 (2009)
82		Franz Pernkopf, Tuan Van Pham, Jeff A. Bilmes: Broad phonetic classification using discriminative Bayesian networks. Speech Communication 51(2): 151-166 (2009)
	2008
81		William Pentney, Matthai Philipose, Jeff A. Bilmes: Structure Learning on Large Scale Common Sense Statistical Models of Human State. AAAI 2008: 1389-1395
80		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
79		Amarnag Subramanya, Jeff Bilmes: Soft-Supervised Learning for Text Classification. EMNLP 2008: 1090-1099
78		Hui Lin, Jeff Bilmes: Polyphase speech recognition. ICASSP 2008: 4109-4112
77		Jonathan Malkin, Jeff Bilmes: Ratio semi-definite classifiers. ICASSP 2008: 4113-4116
76		Hui Lin, Alex Stupakov, Jeff A. Bilmes: Spoken keyword spotting via multi-lattice alignment. INTERSPEECH 2008: 2191-2194
75		Chris D. Bartels, Jeff A. Bilmes: Using syllable nuclei locations to improve automatic speech recognition in the presence of burst noise. INTERSPEECH 2008: 2406-2409
74		Amarnag Subramanya, Jeff A. Bilmes: Applications of virtual-evidence based speech recognizer training. INTERSPEECH 2008: 2562-2565
73		Franz Pernkopf, Jeff Bilmes: Order-based Discriminative Structure Learning for Bayesian Network Classifiers. ISAIM 2008
72		Andrew Guillory, Jeff Bilmes: Practical Methods for Exploiting Bounds on Change in the Margin. ISAIM 2008
71		Aaron 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
70		Danny Wyatt, Jeff A. Bilmes, Tanzeem Choudhury, James A. Kitts: Towards the automated social analysis of situated speech data. UbiComp 2008: 168-171
69		Sheila M. Reynolds, Lukas Käll, Michael Riffle, Jeff A. Bilmes, William Stafford Noble: Transmembrane Topology and Signal Peptide Prediction Using Dynamic Bayesian Networks. PLoS Computational Biology 4(11): (2008)
	2007
68		William Pentney, Matthai Philipose, Jeff A. Bilmes, Henry A. Kautz: Learning Large Scale Common Sense Models of Everyday Life. AAAI 2007: 465-470
67		Brandi House, Jonathan Malkin, Jeff Bilmes: Demo of VJ-Voicebot: control of robotic arm with the Vocal Joystick. ASSETS 2007: 247-248
66		Amarnag Subramanya, Jeff A. Bilmes: Virtual Evidence for Training Speech Recognizers Using Partially Labeled Data. HLT-NAACL (Short Papers) 2007: 165-168
65		Karim Filali, Jeff A. Bilmes: Generalized Graphical Abstractions for Statistical Machine Translation. HLT-NAACL (Short Papers) 2007: 33-36
64		Katherine Everitt, Susumu Harada, Jeff A. Bilmes, James A. Landay: Disambiguating speech commands using physical context. ICMI 2007: 247-254
63		Danny Wyatt, Tanzeem Choudhury, Jeff Bilmes, Henry A. Kautz: A Privacy-Sensitive Approach to Modeling Multi-Person Conversations. IJCAI 2007: 1769-1775
62		Mukund Narasimhan, Jeff Bilmes: Local Search for Balanced Submodular Clusterings. IJCAI 2007: 981-986
61		Raghunandan Kumaran, Jeff Bilmes, Katrin Kirchhoff: Attention shift decoding for conversational speech recognition. INTERSPEECH 2007: 1493-1496
60		Danny Wyatt, Tanzeem Choudhury, Jeff Bilmes: Conversation detection and speaker segmentation in privacy-sensitive situated speech data. INTERSPEECH 2007: 586-589
59		Marina Meila, Kapil Phadnis, Arthur Patterson, Jeff A. Bilmes: Consensus ranking under the exponential model. UAI 2007: 285-294
58		Chia-Ping Chen, Jeff A. Bilmes: MVA Processing of Speech Features. IEEE Transactions on Audio, Speech & Language Processing 15(1): 257-270 (2007)
57		Xiao Li, Jeff Bilmes: A Bayesian Divergence Prior for Classiffier Adaptation. Journal of Machine Learning Research - Proceedings Track 2: 275-282 (2007)
	2006
56		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
55		Susumu 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
54		Gang Ji, Jeff Bilmes: Backoff Model Training using Partially Observed Data: Application to Dialog Act Tagging. HLT-NAACL 2006
53		Xiao Li, Jonathan Malkin, Susumu Harada, Jeff A. Bilmes, Richard Wright, James A. Landay: An online adaptive filtering algorithm for the vocal joystick. INTERSPEECH 2006
52		Kelley Kilanski, Jonathan Malkin, Xiao Li, Richard Wright, Jeff A. Bilmes: The vocal joystick data collection effort and vowel corpus. INTERSPEECH 2006
51		Alvin 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
50		Karim Filali, Jeff A. Bilmes: Multi-dynamic Bayesian Networks. NIPS 2006: 409-416
49		Gang Ji, Jeff Bilmes, Katrin Kirchhoff, Chris Manning: Graphical Model Representations of Word Lattices. SLT 2006: 162-165
48		Chris D. Bartels, Jeff A. Bilmes: Non-Minimal Triangulations for Mixed Stochastic/Deterministic Graphical Models. UAI 2006
47		Amar Subramanya, Alvin Raj, Jeff A. Bilmes, Dieter Fox: Recognizing Activities and Spatial Context Using Wearable Sensors. UAI 2006
46		Katrin 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)
45		Karim Filali, Xiao Li, Jeff Bilmes: Algorithms for data-driven ASR parameter quantization. Computer Speech & Language 20(4): 625-643 (2006)
44		Xiao 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)
43		Jeff A. Bilmes: What HMMs Can Do. IEICE Transactions 89-D(3): 869-891 (2006)
	2005
42		Karim Filali, Jeff Bilmes: A Dynamic Bayesian Framework to Model Context and Memory in Edit Distance Learning: An Application to Pronunciation Classification. ACL 2005
41		Sheila M. Reynolds, Jeff A. Bilmes: Part-of-Speech Tagging using Virtual Evidence and Negative Training. HLT/EMNLP 2005
40		Jeff 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
39		Yi Li, Linda G. Shapiro, Jeff A. Bilmes: A Generative/Discriminative Learning Algorithm for Image Classification. ICCV 2005: 1605-1612
38		Franz Pernkopf, Jeff A. Bilmes: Discriminative versus generative parameter and structure learning of Bayesian network classifiers. ICML 2005: 657-664
37		Xiao Li, Jeff Bilmes, Jonathan Malkin: Maximum margin learning and adaptation of MLP classifiers. INTERSPEECH 2005: 1789-1792
36		Chris D. Bartels, Kevin Duh, Jeff Bilmes, Katrin Kirchhoff, Simon King: Genetic triangulation of graphical models for speech and language processing. INTERSPEECH 2005: 3329-3332
35		Simon King, Chris D. Bartels, Jeff Bilmes: SVitchboard 1: small vocabulary tasks from Switchboard. INTERSPEECH 2005: 3385-3388
34		Amarnag Subramanya, Jeff Bilmes, Chia-Ping Chen: Focused word segmentation for ASR. INTERSPEECH 2005: 393-396
33		Mukund Narasimhan, Nebojsa Jojic, Jeff Bilmes: Q-Clustering. NIPS 2005
32		Mukund Narasimhan, Jeff A. Bilmes: A Submodular-supermodular Procedure with Applications to Discriminative Structure Learning. UAI 2005: 404-412
	2004
31		Yi Li, Jeff A. Bilmes, Linda G. Shapiro: Object Class Recognition using Images of Abstract Regions. ICPR (1) 2004: 40-43
30		Xiao Li, Jonathan Malkin, Jeff Bilmes: Graphical model approach to pitch tracking. INTERSPEECH 2004
29		Mukund Narasimhan, Jeff A. Bilmes: Optimal sub-graphical models. NIPS 2004
28		Mukund Narasimhan, Jeff A. Bilmes: PAC-learning Bounded Tree-width Graphical Models. UAI 2004: 410-417
27		Richard W. Vuduc, James Demmel, Jeff A. Bilmes: Statistical Models for Empirical Search-Based Performance Tuning. IJHPCA 18(1): 65-94 (2004)
	2003
26		Jeff Bilmes, Katrin Kirchhoff: Factored Language Models and Generalized Parallel Backoff. HLT-NAACL 2003
25		Karen Livescu, James R. Glass, Jeff Bilmes: Hidden feature models for speech recognition using dynamic Bayesian networks. INTERSPEECH 2003
24		Gang Ji, Jeff A. Bilmes: Necessary Intransitive Likelihood-Ratio Classifiers. NIPS 2003
23		Jeff A. Bilmes, Chris D. Bartels: On Triangulating Dynamic Graphical Models. UAI 2003: 47-56
22		Martin 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)
21		Jeff A. Bilmes: Buried Markov models: a graphical-modeling approach to automatic speech recognition. Computer Speech & Language 17(2-3): 213-231 (2003)
20		Jeff Bilmes, Katrin Kirchhoff: Generalized rules for combination and joint training of classifiers. Pattern Anal. Appl. 6(3): 201-211 (2003)
19		Matthew Richardson, Jeff Bilmes, Chris Diorio: Hidden-articulator Markov models for speech recognition. Speech Communication 41(2-3): 511-529 (2003)
	2002
18		Karim Filali, Xiao Li, Jeff A. Bilmes: Data-driven vector clustering for low-memory footprint ASR. INTERSPEECH 2002
17		Chia-Ping Chen, Karim Filali, Jeff A. Bilmes: Frontend post-processing and backend model enhancement on the Aurora 2.0/3.0 databases. INTERSPEECH 2002
16		Chia-Ping Chen, Jeff A. Bilmes, Katrin Kirchhoff: Low-resource noise-robust feature post-processing on Aurora 2.0. INTERSPEECH 2002
15		Özgür Çetin, Harriet J. Nock, Katrin Kirchhoff, Jeff A. Bilmes, Mari Ostendorf: The 2001 GMTK-based SPINE ASR system. INTERSPEECH 2002
	2001
14		Rich Vuduc, James Demmel, Jeff Bilmes: Statistical Models for Automatic Performance Tuning. International Conference on Computational Science (1) 2001: 117-126
13		Jeff Bilmes, Gang Ji, Marina Meila: Intransitive Likelihood-Ratio Classifiers. NIPS 2001: 1141-1148
	2000
12		Matthew Richardson, Jeff Bilmes, Chris Diorio: Hidden-articulator Markov models: performance improvements and robustness to noise. INTERSPEECH 2000: 131-134
11		Daniel P. W. Ellis, Jeff A. Bilmes: Using mutual information to design feature combinations. INTERSPEECH 2000: 79-82
10		Jeff A. Bilmes, Katrin Kirchhoff: Directed graphical models of classifier combination: application to phone recognition. INTERSPEECH 2000: 921
9		Jeff Bilmes: Dynamic Bayesian Multinets. UAI 2000: 38-45
	1998
8		Jeff A. Bilmes: Data-driven extensions to HMM statistical dependencies. ICSLP 1998
	1997
7		Jeff 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
	1996
6		Jeff Bilmes, Nelson Morgan, Su-Lin Wu, Hervé Bourlard: Stochastic perceptual speech models with durational dependence. ICSLP 1996
	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
3		Phil Kohn, Jeff Bilmes, Nelson Morgan, James Beck: Software for ANN Training on a Ring Array Processor. NIPS 1991: 781-788
2		Oliver 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

1	Eric Allman	[5]
2	David P. Anderson	[4]
3	Galen Andrew	[131]
4	Yasuo Ariki	[113]
5	Krste Asanovic	[7]
6	Zafer Aydin	[119]
7	Chris D. Bartels	[23] [35] [36] [48] [75] [94] [104] [116]
8	James Beck	[3] [5]
9	Joachim Beer	[5]
10	Hervé Bourlard	[6]
11	Özgür Çetin	[15]
12	Erick Chastain	[83]
13	Chia-Ping Chen	[16] [17] [34] [58]
14	Xiaoyu Chen	[106]
15	Chee-Whye Chin	[7]
16	Howard Chizeck	[40]
17	Tanzeem Choudhury	[60] [63] [70] [80] [115] [120]
18	Jennifer Chu-Carroll	[56]
19	Koby Crammer	[91]
20	James Demmel	[7] [14] [27]
21	Chris Diorio	[12] [19]
22	Patricia Dowden	[40]
23	Kevin Duh	[36] [46]
24	Daniel P. W. Ellis (Dan Ellis)	[11]
25	Oren Etzioni	[100] [107]
26	Katherine Everitt	[64]
27	Karim Filali	[17] [18] [42] [45] [50] [65]
28	Dieter Fox	[47] [51] [96] [133]
29	James R. Glass	[25]
30	Phil Green	[94]
31	Andrew Guillory	[72] [83] [84] [87] [99] [105] [111] [121] [123] [126] [132] [134]
32	Oliver Günther	[1] [2]
33	Evan Hanusa	[96] [133]
34	Susumu Harada	[40] [53] [55] [64] [97] [118]
35	Jay R. Hesselberth	[106]
36	Michael M. Hoffman	[106]
37	Brandi House	[67] [98]
38	Stefanie Jegelka	[122] [125] [127] [128]
39	Gang Ji	[13] [24] [49] [54] [112]
40	Nebojsa Jojic	[33]
41	Lukas Käll	[69]
42	Henry A. Kautz	[63] [68]
43	Yoshinobu Kawahara	[86]
44	Kelley Kilanski	[40] [52]
45	Simon King	[35] [36]
46	Katrin Kirchhoff	[10] [15] [16] [20] [26] [36] [40] [46] [49] [61]
47	James A. Kitts	[70] [120]
48	Aaron A. Klammer	[71]
49	Phil Kohn	[3] [5]
50	Raghunandan Kumaran	[61]
51	James A. Landay	[40] [53] [55] [64] [97] [118]
52	Xiao Li	[18] [30] [37] [40] [44] [45] [52] [53] [55] [57] [118]
53	Yi Li	[31] [39]
54	Hui Lin	[76] [78] [90] [91] [93] [110] [114] [122] [124] [129] [130]
55	Karen Livescu	[25]
56	Ning Ma	[94]
57	Michael J. MacCoss	[71]
58	Jonathan Malkin	[30] [37] [40] [44] [52] [53] [55] [67] [77] [89] [95] [97] [98] [109] [118]
59	Chris Manning	[49]
60	Mausam	[100] [107]
61	Marina Meila	[13] [59]
62	Robert C. Moore	[56]
63	Nelson Morgan	[3] [5] [6]
64	Kiyohito Nagano	[86]
65	Mukund Narasimhan	[28] [29] [32] [33] [62]
66	Andrew Y. Ng	[101]
67	William Stafford Noble	[69] [71] [85] [102] [106] [108] [119]
68	Harriet J. Nock	[15]
69	Mari Ostendorf	[15]
70	Arthur Patterson	[59]
71	William Pentney	[68] [81]
72	Franz Pernkopf	[38] [73] [82] [103]
73	Kapil Phadnis	[59]
74	Tuan Van Pham	[82]
75	Matthai Philipose	[68] [81]
76	Alvin Raj	[47] [51]
77	Kobi Reiter	[107]
78	Sheila M. Reynolds	[41] [69] [71] [85] [102] [108]
79	Matthew Richardson	[12] [19]
80	Michael Riffle	[69]
81	Martin J. Russell	[22]
82	Marcus Sammer	[107]
83	Mark Sanderson	[56]
84	Linda G. Shapiro	[31] [39]
85	Ajit Singh	[119] [132]
86	Michael Skinner	[100] [107]
87	Stephen Soderland	[100] [107]
88	Andreas Stolcke	[46]
89	Alex Stupakov	[76] [93] [96] [133]
90	Amar Subramanya	[40] [47]
91	Amarnag Subramanya	[34] [51] [66] [74] [79] [88] [89] [92] [117]
92	Tetsuya Takiguchi	[113]
93	Koji Tsuda	[86]
94	Dimitra Vergyri	[46]
95	Deepak Vijaywargi	[133]
96	Richard W. Vuduc (Rich Vuduc)	[14] [27]
97	Daniel S. Weld	[100] [107]
98	Zhiping Weng	[108]
99	Jacob O. Wobbrock	[97]
100	Richard Wright	[40] [52] [53]
101	Su-Lin Wu	[6]
102	Danny Wyatt	[60] [63] [70] [80] [115] [120]
103	Mariko Yoshii	[113]

Colors in the list of coauthors

Last update Sun May 27 04:04:01 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page