-
1
-
-
38349091259
-
Maximum margin semi-supervised learning for structured variables
-
Yasemin Altun, David McAllester, and Mikhail Belkin. Maximum margin semi-supervised learning for structured variables. In NIPS 18, 2006.
-
(2006)
NIPS
, vol.18
-
-
Altun, Y.1
McAllester, D.2
Belkin, M.3
-
2
-
-
85161981998
-
Supervised topic models
-
David Blei and Jon McAuliffe. Supervised topic models. In NIPS 20, 2008.
-
(2008)
NIPS
, vol.20
-
-
Blei, D.1
McAuliffe, J.2
-
4
-
-
5044223520
-
Multiscale conditional random fields for image labelling
-
Xuming He, Richard Zemel, and Miguel Carreira-Perpinan. Multiscale conditional random fields for image labelling. In CVPR, 2004.
-
(2004)
CVPR
-
-
He, X.1
Zemel, R.2
Carreira-Perpinan, M.3
-
5
-
-
34948885292
-
Learning and incorporating top-down cues in image segmentation
-
Xuming He, Richard S. Zemel, and Debajyoti Ray. Learning and incorporating top-down cues in image segmentation. In ECCV, 2006.
-
(2006)
ECCV
-
-
He, X.1
Zemel, R.S.2
Ray, D.3
-
6
-
-
34047204042
-
Combining generative and discriminative methods for pixel classification with multi-conditional learning
-
Michael Kelm, Chris Pal, and Andrew McCallum. Combining generative and discriminative methods for pixel classification with multi-conditional learning. In ICPR, 2006.
-
(2006)
ICPR
-
-
Kelm, M.1
Pal, C.2
McCallum, A.3
-
7
-
-
0344120654
-
Discriminative random fields: A discriminative framework for contextual interaction in classification
-
Sanjiv Kumar and Martial Hebert. Discriminative random fields: A discriminative framework for contextual interaction in classification. In ICCV, 2003.
-
(2003)
ICCV
-
-
Kumar, S.1
Hebert, M.2
-
8
-
-
0142192295
-
Conditional random fields: Probabilistic models for segmenting and labeling sequence data
-
John Lafferty, AndrewMcCallum, and Fernando Pereira. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In ICML, pages 282-289, 2001.
-
(2001)
ICML
, pp. 282-289
-
-
Lafferty, J.1
McCallum, A.2
Pereira, F.3
-
9
-
-
33845597672
-
Principled hybrids of generative and discriminative models
-
Julia A. Lasserre, Christopher M. Bishop, and Thomas P. Minka. Principled hybrids of generative and discriminative models. In CVPR, 2006.
-
(2006)
CVPR
-
-
Lasserre, J.A.1
Bishop, C.M.2
Minka, T.P.3
-
10
-
-
84864032258
-
Learning to model spatial dependency: Semi-supervised discriminative random fields
-
Chi-Hoon Lee, Shaojun Wang, Feng Jiao, Dale Schuurmans, and Russell Greiner. Learning to model spatial dependency: Semi-supervised discriminative random fields. In NIPS 19, 2007.
-
(2007)
NIPS
, vol.19
-
-
Lee, C.-H.1
Wang, S.2
Jiao, F.3
Schuurmans, D.4
Greiner, R.5
-
11
-
-
85162028642
-
Efficient unsupervised learning for localization and detection in object categories
-
Nicolas Loeff, Himanshu Arora, Alexander Sorokin, and David Forsyth. Efficient unsupervised learning for localization and detection in object categories. In NIPS, 2006.
-
(2006)
NIPS
-
-
Loeff, N.1
Arora, H.2
Sorokin, A.3
Forsyth, D.4
-
13
-
-
0034244751
-
Normalized cuts and image segmentation
-
J. Shi and J. Malik. Normalized cuts and image segmentation. IEEE Trans. PAMI, 2000.
-
(2000)
IEEE Trans. PAMI
-
-
Shi, J.1
Malik, J.2
-
14
-
-
33845423382
-
Textonboost: Joint appearance, shape and context modeling for multi-class object recognition and segmentation
-
Jamie Shotton, John M. Winn, Carsten Rother, and Antonio Criminisi. Textonboost: Joint appearance, shape and context modeling for multi-class object recognition and segmentation. In ECCV, 2006.
-
(2006)
ECCV
-
-
Shotton, J.1
Winn, J.M.2
Rother, C.3
Criminisi, A.4
-
15
-
-
34948814611
-
Region classification with markov field aspect models
-
Jakob Verbeek and Bill Triggs. Region classification with markov field aspect models. In CVPR, 2007.
-
(2007)
CVPR
-
-
Verbeek, J.1
Triggs, B.2
-
16
-
-
58349114205
-
Scene segmentation with CRFs learned from partially labeled images
-
Jakob Verbeek and Bill Triggs. Scene segmentation with CRFs learned from partially labeled images. In NIPS 20, 2008.
-
(2008)
NIPS
, vol.20
-
-
Verbeek, J.1
Triggs, B.2
-
17
-
-
33845591067
-
Using dependent regions for object categorization in a generative framework
-
Gang Wang, Ye Zhang, and Li Fei-Fei. Using dependent regions for object categorization in a generative framework. In CVPR, 2006.
-
(2006)
CVPR
-
-
Gang, W.1
Ye, Z.2
Li, F.-F.3
-
18
-
-
85161989873
-
Spatial latent Dirichlet allocation
-
Xiaogang Wang and Eric Grimson. Spatial latent Dirichlet allocation. In NIPS, 2008.
-
(2008)
NIPS
-
-
Wang, X.1
Grimson, E.2
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