2008 |
24 | EE | Bryan C. Russell,
Antonio B. Torralba,
Kevin P. Murphy,
William T. Freeman:
LabelMe: A Database and Web-Based Tool for Image Annotation.
International Journal of Computer Vision 77(1-3): 157-173 (2008) |
2007 |
23 | | Mark W. Schmidt,
Alexandru Niculescu-Mizil,
Kevin P. Murphy:
Learning Graphical Model Structure Using L1-Regularization Paths.
AAAI 2007: 1278-1283 |
22 | EE | Xiang Xuan,
Kevin P. Murphy:
Modeling changing dependency structure in multivariate time series.
ICML 2007: 1055-1062 |
21 | EE | Mirela Andronescu,
Anne Condon,
Holger H. Hoos,
David H. Mathews,
Kevin P. Murphy:
Efficient parameter estimation for RNA secondary structure prediction.
ISMB/ECCB (Supplement of Bioinformatics) 2007: 19-28 |
20 | EE | Sohrab P. Shah,
Wan L. Lam,
Raymond T. Ng,
Kevin P. Murphy:
Modeling recurrent DNA copy number alterations in array CGH data.
ISMB/ECCB (Supplement of Bioinformatics) 2007: 450-458 |
19 | EE | Antonio B. Torralba,
Kevin P. Murphy,
William T. Freeman:
Sharing Visual Features for Multiclass and Multiview Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell. 29(5): 854-869 (2007) |
2006 |
18 | EE | S. V. N. Vishwanathan,
Nicol N. Schraudolph,
Mark W. Schmidt,
Kevin P. Murphy:
Accelerated training of conditional random fields with stochastic gradient methods.
ICML 2006: 969-976 |
17 | EE | Sohrab P. Shah,
Xiang Xuan,
Ronald J. deLeeuw,
Mehrnoush Khojasteh,
Wan L. Lam,
Raymond T. Ng,
Kevin P. Murphy:
Integrating copy number polymorphisms into array CGH analysis using a robust HMM.
ISMB (Supplement of Bioinformatics) 2006: 431-439 |
16 | EE | Antonio B. Torralba,
Kevin P. Murphy,
William T. Freeman:
Shared Features for Multiclass Object Detection.
Toward Category-Level Object Recognition 2006: 345-361 |
15 | EE | Kevin P. Murphy,
Antonio B. Torralba,
Daniel Eaton,
William T. Freeman:
Object Detection and Localization Using Local and Global Features.
Toward Category-Level Object Recognition 2006: 382-400 |
2004 |
14 | EE | Antonio B. Torralba,
Kevin P. Murphy,
William T. Freeman:
Sharing Features: Efficient Boosting Procedures for Multiclass Object Detection.
CVPR (2) 2004: 762-769 |
13 | EE | Antonio B. Torralba,
Kevin P. Murphy,
William T. Freeman:
Contextual Models for Object Detection Using Boosted Random Fields.
NIPS 2004 |
2003 |
12 | EE | Antonio B. Torralba,
Kevin P. Murphy,
William T. Freeman,
Mark A. Rubin:
Context-based vision system for place and object recognition.
ICCV 2003: 273-280 |
11 | EE | Kevin P. Murphy,
Antonio B. Torralba,
William T. Freeman:
Graphical Model For Recognizing Scenes and Objects.
NIPS 2003 |
2001 |
10 | EE | Kevin P. Murphy,
Yair Weiss:
The Factored Frontier Algorithm for Approximate Inference in DBNs.
UAI 2001: 378-385 |
2000 |
9 | EE | Arnaud Doucet,
Nando de Freitas,
Kevin P. Murphy,
Stuart J. Russell:
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks.
UAI 2000: 176-183 |
1999 |
8 | EE | James M. Rehg,
Kevin P. Murphy,
Paul W. Fieguth:
Vision-Based Speaker Detection Using Bayesian Networks.
CVPR 1999: 2110-2116 |
7 | EE | Vladimir Pavlovic,
James M. Rehg,
Tat-Jen Cham,
Kevin P. Murphy:
A Dynamic Bayesian Network Approach to Figure Tracking using Learned Dynamic Models.
ICCV 1999: 94-101 |
6 | EE | Kevin P. Murphy:
Bayesian Map Learning in Dynamic Environments.
NIPS 1999: 1015-1021 |
5 | EE | Kevin P. Murphy:
A Variational Approximation for Bayesian Networks with Discrete and Continuous Latent Variables.
UAI 1999: 457-466 |
4 | EE | Kevin P. Murphy,
Yair Weiss,
Michael I. Jordan:
Loopy Belief Propagation for Approximate Inference: An Empirical Study.
UAI 1999: 467-475 |
1998 |
3 | EE | Nir Friedman,
Kevin P. Murphy,
Stuart J. Russell:
Learning the Structure of Dynamic Probabilistic Networks.
UAI 1998: 139-147 |
1997 |
2 | | John Binder,
Kevin P. Murphy,
Stuart J. Russell:
Space-Efficient Inference in Dynamic Probabilistic Networks.
IJCAI 1997: 1292-1296 |
1995 |
1 | | David B. Searls,
Kevin P. Murphy:
Automata-Theoretic Models of Mutation and Alignment.
ISMB 1995: 341-349 |