-
1
-
-
2342654611
-
A unifying theorem for spectral embedding and clustering
-
M. Brand and K. Huang. A unifying theorem for spectral embedding and clustering. In AISTATS, 2003.
-
(2003)
AISTATS
-
-
Brand, M.1
Huang, K.2
-
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
-
3
-
-
0042942750
-
Robust data clustering
-
A. Fred and A. Jain. Robust data clustering. In CVPR, pages 128-133, 2003.
-
(2003)
CVPR
, pp. 128-133
-
-
Fred, A.1
Jain, A.2
-
4
-
-
4243128193
-
On clusterings: Good, bad and spectral
-
R. Kannan, S. Vempala, and A. Vetta. On clusterings: Good, bad and spectral. J. ACM, 51(3):497-515, 2004.
-
(2004)
J. ACM
, vol.51
, Issue.3
, pp. 497-515
-
-
Kannan, R.1
Vempala, S.2
Vetta, A.3
-
5
-
-
0041775676
-
Diffusion kernels on graphs and other discrete input spaces
-
R. Kondor and J. Lafferty. Diffusion kernels on graphs and other discrete input spaces. In ICML, 2002.
-
(2002)
ICML
-
-
Kondor, R.1
Lafferty, J.2
-
6
-
-
0012287167
-
Learning segmentation by random walks
-
M. Meila and J. Shi. Learning segmentation by random walks. In NIPS, pages 873-879, 2000.
-
(2000)
NIPS
, pp. 873-879
-
-
Meila, M.1
Shi, J.2
-
7
-
-
84864071145
-
Diffusion maps, spectral clustering and eigenfunctions of fokkerplanck operators
-
B. Nadler, S. Lafon, R. Coifman, and I. Kevrekidis. Diffusion maps, spectral clustering and eigenfunctions of fokkerplanck operators. In NIPS, pages 955-962, 2006.
-
(2006)
NIPS
, pp. 955-962
-
-
Nadler, B.1
Lafon, S.2
Coifman, R.3
Kevrekidis, I.4
-
8
-
-
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
-
9
-
-
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
-
10
-
-
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
-
12
-
-
0041965980
-
Cluster ensembles- A knowledge reuse framework for combining multiple partitions
-
A. Strehl and J. Ghosh. Cluster ensembles- A knowledge reuse framework for combining multiple partitions. Journal of Machine Learning Research, 3(3):583-617, 2003.
-
(2003)
Journal of Machine Learning Research
, vol.3
, Issue.3
, pp. 583-617
-
-
Strehl, A.1
Ghosh, J.2
-
13
-
-
84864041449
-
Generalized maximum margin clustering and unsupervised kernel learning
-
H. Valizadegan and R. Jin. Generalized maximum margin clustering and unsupervised kernel learning. In NIPS, 2007.
-
(2007)
NIPS
-
-
Valizadegan, H.1
Jin, R.2
-
14
-
-
34547404361
-
A comparison of spectral clustering algorithms
-
Technical Report 03-05-01, University of Washington Department of Computer Science
-
D. Verma and M. Meila. A comparison of spectral clustering algorithms. Technical Report 03-05-01, University of Washington Department of Computer Science, 2003.
-
(2003)
-
-
Verma, D.1
Meila, M.2
-
15
-
-
0033285447
-
Segmentation using eigenvectors: A unifying view
-
Y.Weiss. Segmentation using eigenvectors: A unifying view. In ICCV, pages 975-982, 1999.
-
(1999)
ICCV
, pp. 975-982
-
-
Weiss, Y.1
-
16
-
-
0344551898
-
Multiclass spectral clustering
-
S. X. Yu and J. Shi. Multiclass spectral clustering. In ICCV, pages 313-319, 2003.
-
(2003)
ICCV
, pp. 313-319
-
-
Yu, S.X.1
Shi, J.2
-
17
-
-
84898995558
-
Self-tuning spectral clustering
-
L. Zelnik-Manor and P. Perona. Self-tuning spectral clustering. In NIPS, pages 1601-1608, 2005.
-
(2005)
NIPS
, pp. 1601-1608
-
-
Zelnik-Manor, L.1
Perona, P.2
-
18
-
-
84864072823
-
Analysis of spectral kernel design based semi-supervised learning
-
T. Zhang and R. Ando. Analysis of spectral kernel design based semi-supervised learning. In NIPS, volume 18, pages 1601-1608.
-
NIPS
, vol.18
, pp. 1601-1608
-
-
Zhang, T.1
Ando, R.2
-
19
-
-
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
-
20
-
-
1942484430
-
Semi-supervised learning using gaussian fields and harmonic functions
-
X. Zhu, Z. Ghahramani, and J. Lafferty. Semi-supervised learning using gaussian fields and harmonic functions. In ICML, 2003.
-
(2003)
ICML
-
-
Zhu, X.1
Ghahramani, Z.2
Lafferty, J.3
-
21
-
-
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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