-
2
-
-
50649084677
-
Cluster kernels for semi-supervised learning
-
O. Chapelle, J. Weston, and B. Scholkopf. Cluster kernels for semi-supervised learning. In NIPS, 2003.
-
(2003)
NIPS
-
-
Chapelle, O.1
Weston, J.2
Scholkopf, B.3
-
4
-
-
56449106588
-
Spectral clustering with inconsistent advice
-
T. Coleman, J. Saunderson, and A.Wirth. Spectral clustering with inconsistent advice. In ICML, pages 152-159, 2008.
-
(2008)
ICML
, pp. 152-159
-
-
Coleman, T.1
Saunderson, J.2
Wirth, A.3
-
5
-
-
50649117726
-
Learning globallyonsistent local distance functions for shape-based image retrieval and classification
-
A. Frome, Y. Singer, F. Sha, and J. Malik. Learning globallyonsistent local distance functions for shape-based image retrieval and classification. In ICCV, 2007.
-
(2007)
ICCV
-
-
Frome, A.1
Singer, Y.2
Sha, F.3
Malik, J.4
-
6
-
-
0035363672
-
From few to many: Illumination cone models for face recognitionunder variable lighting and pose
-
A. Georghiades, P. Belhumeur, and D. Kriegman. From few to many: illumination cone models for face recognitionunder variable lighting and pose. IEEE Trans. PAMI, 23(6):643-660, 2001.
-
(2001)
IEEE Trans. PAMI
, vol.23
, Issue.6
, pp. 643-660
-
-
Georghiades, A.1
Belhumeur, P.2
Kriegman, D.3
-
9
-
-
9444294778
-
From instance-level constraints to space-level constraints: Making the most of prior knowledge in data clustering
-
D. Klein, S. Kamvar, and C. Manning. From instance-level constraints to space-level constraints: Making the most of prior knowledge in data clustering. In ICML, pages 307-314, 2002.
-
(2002)
ICML
, pp. 307-314
-
-
Klein, D.1
Kamvar, S.2
Manning, C.3
-
10
-
-
0041775676
-
Diffusion kernels on graphs and other discrete structures
-
R. Kondor and J. Lafferty. Diffusion kernels on graphs and other discrete structures. In ICML, pages 315-322, 2002.
-
(2002)
ICML
, pp. 315-322
-
-
Kondor, R.1
Lafferty, J.2
-
11
-
-
31844447616
-
Semi-supervised graph clustering: A kernel approach
-
B. Kulis, S. Basu, I. Dhillon, and R. Mooney. Semi-supervised graph clustering: A kernel approach. In ICML, pages 457-464, 2005.
-
(2005)
ICML
, pp. 457-464
-
-
Kulis, B.1
Basu, S.2
Dhillon, I.3
Mooney, R.4
-
13
-
-
56449130871
-
Pairwise constraint propagation by semidefinite programming for semi-supervised classification
-
Z. Li, J. Liu, and X. Tang. Pairwise constraint propagation by semidefinite programming for semi-supervised classification. In ICML, 2008.
-
(2008)
ICML
-
-
Li, Z.1
Liu, J.2
Tang, X.3
-
14
-
-
70450267700
-
Constrained clustering via spectral regularization
-
Z. Li, J. Liu, and X. Tang. Constrained clustering via spectral regularization. In CVPR, 2009.
-
(2009)
CVPR
-
-
Li, Z.1
Liu, J.2
Tang, X.3
-
15
-
-
51949113919
-
Constrained Spectral Clustering through Affinity Propagation
-
Z. Lu and M. Á. Carreira-Perpiñán. Constrained Spectral Clustering through Affinity Propagation. In CVPR, 2008.
-
(2008)
CVPR
-
-
Lu, Z.1
Carreira-Perpiñán, M.Á.2
-
16
-
-
0041875229
-
On spectral clustering: Analysis and an algorithm
-
A. Y. Ng, M. I. Jordan, and Y. Weiss. On spectral clustering: Analysis and an algorithm. In NIPS, pages 849-856, 2001.
-
(2001)
NIPS
, pp. 849-856
-
-
Ng, A.Y.1
Jordan, M.I.2
Weiss, Y.3
-
17
-
-
0035328421
-
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
-
A. Oliva and A. Torralba. Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope. International Journal of Computer Vision, 42(3):145-175, 2001.
-
(2001)
International Journal of Computer Vision
, vol.42
, Issue.3
, pp. 145-175
-
-
Oliva, A.1
Torralba, A.2
-
19
-
-
84898968165
-
Computing Gaussian mixture models with EM using equivalence constraints
-
N. Shental, A. Bar-Hillel, T. Hertz, and D. Weinshall. Computing Gaussian mixture models with EM using equivalence constraints. In NIPS, volume 16, pages 465-472, 2004.
-
(2004)
NIPS
, vol.16
, pp. 465-472
-
-
Shental, N.1
Bar-Hillel, A.2
Hertz, T.3
Weinshall, D.4
-
20
-
-
0034244751
-
Normalized cuts and image segmentation
-
J. Shi and J. Malik. Normalized cuts and image segmentation. IEEE Trans. PAMI, 22(8):888-905, 2000.
-
(2000)
IEEE Trans. PAMI
, vol.22
, Issue.8
, pp. 888-905
-
-
Shi, J.1
Malik, J.2
-
21
-
-
14344259597
-
Kernels and regularization on graphs
-
A. Smola and R. Kondor. Kernels and regularization on graphs. In COLT, 2003.
-
(2003)
COLT
-
-
Smola, A.1
Kondor, R.2
-
22
-
-
0001898293
-
Clustering with instance-level constraints
-
K. Wagstaff and C. Cardie. Clustering with instance-level constraints. In ICML, pages 1103-1110, 2000.
-
(2000)
ICML
, pp. 1103-1110
-
-
Wagstaff, K.1
Cardie, C.2
-
23
-
-
0042377235
-
Constrained k-means clustering with background knowledge
-
K. Wagstaff, C. Cardie, S. Rogers, and S. Schroedl. Constrained k-means clustering with background knowledge. In ICML, pages 577-584, 2001.
-
(2001)
ICML
, pp. 577-584
-
-
Wagstaff, K.1
Cardie, C.2
Rogers, S.3
Schroedl, S.4
-
24
-
-
84879571292
-
Distance metric learning, with application to clustering with sideinformation
-
E. Xing, A. Ng, M. Jordan, and S. Russell. Distance metric learning, with application to clustering with sideinformation. In NIPS, pages 505-512, 2003.
-
(2003)
NIPS
, pp. 505-512
-
-
Xing, E.1
Ng, A.2
Jordan, M.3
Russell, S.4
-
25
-
-
70450187127
-
Fast normalized cut with linear constraints
-
L. Xu, W. Li, and S. D. Fast normalized cut with linear constraints. In CVPR, 2009.
-
(2009)
CVPR
-
-
Xu, L.1
Li, W.2
S, D.3
-
26
-
-
0742321103
-
Segmentation Given Partial Grouping Constraints
-
S. Yu and J. Shi. Segmentation Given Partial Grouping Constraints. IEEE Trans. PAMI, pages 173-180, 2004.
-
(2004)
IEEE Trans. PAMI
, pp. 173-180
-
-
Yu, S.1
Shi, J.2
-
27
-
-
84864072823
-
Analysis of spectral kernel design based semi-supervised learning
-
T. Zhang and R. Ando. Analysis of spectral kernel design based semi-supervised learning. NIPS, 18:1601, 2006.
-
(2006)
NIPS
, vol.18
, pp. 1601
-
-
Zhang, T.1
Ando, R.2
-
28
-
-
84899006908
-
Learning with local and global consistency
-
D. Zhou, O. Bousquet, T. N. Lal, J. Weston, and B. Schölkopf. Learning with local and global consistency. In NIPS, 2004.
-
(2004)
NIPS
-
-
Zhou, D.1
Bousquet, O.2
Lal, T.N.3
Weston, J.4
Schölkopf, B.5
-
29
-
-
84899028404
-
Nonparametric transforms of graph kernels for semi-supervised learning
-
X. Zhu, J. Kandola, Z. Ghahramani, and J. Lafferty. Nonparametric transforms of graph kernels for semi-supervised learning. In NIPS, pages 1641-1648, 2005.
-
(2005)
NIPS
, pp. 1641-1648
-
-
Zhu, X.1
Kandola, J.2
Ghahramani, Z.3
Lafferty, J.4
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