David McAllester
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Object detection with discriminatively trained part-based models
PF Felzenszwalb, RB Girshick, D McAllester, D Ramanan
IEEE transactions on pattern analysis and machine intelligence 32 (9), 1627-1645, 2009
110412009
Policy Gradient Methods for Reinforcement Learning with Function Approximation
YM RS Sutton, D McAllester, S Singh
NIPS 1999, 1999
4666*1999
A discriminatively trained, multiscale, deformable part model
P Felzenszwalb, D McAllester, D Ramanan
2008 IEEE conference on computer vision and pattern recognition, 1-8, 2008
31242008
Cascade object detection with deformable part models
PF Felzenszwalb, RB Girshick, D McAllester
2010 IEEE Computer society conference on computer vision and pattern …, 2010
10732010
Systematic nonlinear planning
D McAllester, D Rosenblatt
8761991
Some pac-bayesian theorems
DA McAllester
Machine Learning 37 (3), 355-363, 1999
5331999
Evidence for invariants in local search
D McAllester, B Selman, H Kautz
AAAI/IAAI, 321-326, 1997
5331997
CLP (Intervals) Revisited.
F Benhamou, DA McAllester, P Van Hentenryck
ILPS 94, 1-21, 1994
4731994
Encoding plans in propositional logic
H Kautz, D McAllester, B Selman
KR 96, 374-384, 1996
4401996
Solving polynomial systems using a branch and prune approach
P Van Hentenryck, D McAllester, D Kapur
SIAM Journal on Numerical Analysis 34 (2), 797-827, 1997
3841997
PAC generalization bounds for co-training
S Dasgupta, ML Littman, D McAllester
Advances in neural information processing systems 1, 375-382, 2002
3732002
PAC-Bayesian model averaging
DA McAllester
Proceedings of the twelfth annual conference on Computational learning …, 1999
3701999
Efficient joint segmentation, occlusion labeling, stereo and flow estimation
K Yamaguchi, D McAllester, R Urtasun
European Conference on Computer Vision, 756-771, 2014
3682014
An indexed model of recursive types for foundational proof-carrying code
AW Appel, D McAllester
ACM Transactions on Programming Languages and Systems (TOPLAS) 23 (5), 657-683, 2001
3602001
Object detection with grammar models
R Girshick, P Felzenszwalb, D McAllester
Advances in Neural Information Processing Systems 24, 442-450, 2011
3022011
An outlook on truth maintenance
DA McAllester
2901980
PAC-Bayesian stochastic model selection
DA McAllester
Machine Learning 51 (1), 5-21, 2003
2492003
Computational challenges in propositional reasoning and search
B Selman, H Kautz, D McAllester
Proceedings of the Fifteenth International Joint Conference on Artificial …, 1997
2491997
Discriminatively trained deformable part models, release 4
PF Felzenszwalb
http://people. cs. uchicago. edu/pff/latent-release4/, 2010
2272010
Conspiracy numbers for min-max search
DA McAllester
Artificial Intelligence 35 (3), 287-310, 1988
2151988
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Artículos 1–20