-
2
-
-
0035509961
-
Fast approximate energy minimization via graph cuts
-
Y. Boykov, O. Veksler, and R. Zabih. Fast approximate energy minimization via graph cuts. T-PAMI, 23(1), 1999.
-
(1999)
T-PAMI
, vol.23
, Issue.1
-
-
Boykov, Y.1
Veksler, O.2
Zabih, R.3
-
3
-
-
18544379404
-
Tap gibbs free energy, belief propagation and sparsity
-
L. Csato, M. Opper, and O. Winther. Tap gibbs free energy, belief propagation and sparsity. In NIPS, 2001.
-
(2001)
NIPS
-
-
Csato, L.1
Opper, M.2
Winther, O.3
-
4
-
-
67349244372
-
Search-based structured prediction
-
H. Daumé III, J. Langford, and D. Marcu. Search-based structured prediction. MLJ, 75(3), 2009.
-
(2009)
MLJ
, vol.75
, Issue.3
-
-
Daumé III, H.1
Langford, J.2
Marcu, D.3
-
5
-
-
77958077320
-
Residual belief propagation: Informed scheduling for asynchronous message passing
-
G. Elidan, I. McGraw, and D. Koller. Residual belief propagation: Informed scheduling for asynchronous message passing. In UAI, 2006.
-
(2006)
UAI
-
-
Elidan, G.1
McGraw, I.2
Koller, D.3
-
6
-
-
56449113929
-
Training structural svms when exact inference is intractable
-
T. Finley and T. Joachims. Training structural svms when exact inference is intractable. In ICML, 2008.
-
(2008)
ICML
-
-
Finley, T.1
Joachims, T.2
-
7
-
-
34547216923
-
Recovering surface layout from an image
-
D. Hoiem, A. A. Efros, and M. Hebert. Recovering surface layout from an image. IJCV, 75(1), 2007.
-
(2007)
IJCV
, vol.75
, Issue.1
-
-
Hoiem, D.1
Efros, A.A.2
Hebert, M.3
-
8
-
-
61349174704
-
Robust higher order potentials for enforcing label consistency
-
P. Kohli, L. Ladicky, and P. H. Torr. Robust higher order potentials for enforcing label consistency. IJCV, 82(3), 2009.
-
(2009)
IJCV
, vol.82
, Issue.3
-
-
Kohli, P.1
Ladicky, L.2
Torr, P.H.3
-
9
-
-
85162067389
-
Structured learning with approximate inference
-
A. Kulesza and F. Pereira. Structured learning with approximate inference. In NIPS, 2008.
-
(2008)
NIPS
-
-
Kulesza, A.1
Pereira, F.2
-
10
-
-
50649091044
-
Exploiting inference for approximate parameter learning in discriminative fields: An empirical study
-
S. Kumar, J. August, and M. Hebert. Exploiting inference for approximate parameter learning in discriminative fields: An empirical study. In EMMCVPR, 2005.
-
(2005)
EMMCVPR
-
-
Kumar, S.1
August, J.2
Hebert, M.3
-
11
-
-
0142192295
-
Conditional random fields: Probabilistic models for segmenting and labeling sequence data
-
J. Lafferty, A. McCallum, and F. Pereira. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In ICML, 2001.
-
(2001)
ICML
-
-
Lafferty, J.1
McCallum, A.2
Pereira, F.3
-
12
-
-
0032203257
-
Gradient-based learning applied to document recognition
-
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. Gradient-based learning applied to document recognition. IEEE, 86(11), 1998.
-
(1998)
IEEE
, vol.86
, Issue.11
-
-
LeCun, Y.1
Bottou, L.2
Bengio, Y.3
Haffner, P.4
-
14
-
-
70450162267
-
Contextual classification with functional max-margin markov networks
-
D. Munoz, J. A. Bagnell, N. Vandapel, and M. Hebert. Contextual classification with functional max-margin markov networks. In CVPR, 2009.
-
(2009)
CVPR
-
-
Munoz, D.1
Bagnell, J.A.2
Vandapel, N.3
Hebert, M.4
-
17
-
-
80052900085
-
Efficient reductions for imitation learning
-
S. Ross and J. A. Bagnell. Efficient reductions for imitation learning. In AISTATS, 2010.
-
(2010)
AISTATS
-
-
Ross, S.1
Bagnell, J.A.2
-
18
-
-
80052874125
-
No-regret reductions for imitation learning and structured prediction
-
S. Ross, G. J. Gordon, and J. A. Bagnell. No-Regret Reductions for Imitation Learning and Structured Prediction. In AISTATS, 2011.
-
(2011)
AISTATS
-
-
Ross, S.1
Gordon, G.J.2
Bagnell, J.A.3
-
19
-
-
70450246720
-
Sequential learning of classifiers for structured prediction problems
-
D. Roth, K. Small, and I. Titove. Sequential learning of classifiers for structured prediction problems. In AISTATS, 2009.
-
(2009)
AISTATS
-
-
Roth, D.1
Small, K.2
Titove, I.3
-
21
-
-
77956051102
-
Auto-context and its application to high-level vision tasks and 3d brain image segmentation
-
Z. Tu and X. Bai. Auto-context and its application to high-level vision tasks and 3d brain image segmentation. T-PAMI, 32(5), 2009.
-
(2009)
T-PAMI
, vol.32
, Issue.5
-
-
Tu, Z.1
Bai, X.2
-
22
-
-
33748685798
-
Estimating the "wrong" graphical model: Benefits in the computation-limited setting
-
M. J. Wainwright. Estimating the "wrong" graphical model: Benefits in the computation-limited setting. JMLR, 7(11), 2006.
-
(2006)
JMLR
, vol.7
, Issue.11
-
-
Wainwright, M.J.1
-
23
-
-
0042003256
-
Tree-based reparameterization for approximate estimation on loopy graphs
-
M. J. Wainwright, T. Jaakkola, and A. S. Willsky. Tree-based reparameterization for approximate estimation on loopy graphs. In NIPS, 2001.
-
(2001)
NIPS
-
-
Wainwright, M.J.1
Jaakkola, T.2
Willsky, A.S.3
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