-
1
-
-
34250754984
-
Higher order learning with graphs
-
S. Agarwal, K. Branson, and S. Belongie. Higher order learning with graphs. In ICML, pages 17-24, 2006.
-
(2006)
ICML
, pp. 17-24
-
-
Agarwal, S.1
Branson, K.2
Belongie, S.3
-
2
-
-
0043278893
-
Laplacian eigenmaps and spectral techniques for embedding and clustering
-
M. Belkin and P. Niyogi. Laplacian eigenmaps and spectral techniques for embedding and clustering. In Advances in Neural Information Processing Systems 14, pages 585-591, 2001.
-
(2001)
Advances in Neural Information Processing Systems
, vol.14
, pp. 585-591
-
-
Belkin, M.1
Niyogi, P.2
-
4
-
-
3042597440
-
Learning multi-label scene classification
-
M. R. Boutell, J. Luo, X. Shen, and C. M. Brown. Learning multi-label scene classification. Pattern Recognition, 37(9):1757-1771, 2004.
-
(2004)
Pattern Recognition
, vol.37
, Issue.9
, pp. 1757-1771
-
-
Boutell, M.R.1
Luo, J.2
Shen, X.3
Brown, C.M.4
-
5
-
-
36649009540
-
SRDA: An efficient algorithm for large-scale discriminant analysis
-
D. Cai, X. He, and J. Han. SRDA: An efficient algorithm for large-scale discriminant analysis. IEEE Transactions on Knowledge and Data Engineering, 20(1):1-12, 2008.
-
(2008)
IEEE Transactions on Knowledge and Data Engineering
, vol.20
, Issue.1
, pp. 1-12
-
-
Cai, D.1
He, X.2
Han, J.3
-
6
-
-
33749252873
-
-
MIT Press, Cambridge, MA
-
O. Chapelle, B. Schölkopf, and A. Zien. Semi-Supervised Learning. MIT Press, Cambridge, MA, 2006.
-
(2006)
Semi-Supervised Learning
-
-
Chapelle, O.1
Schölkopf, B.2
Zien, A.3
-
8
-
-
0032216898
-
The geometry of algorithms with orthogonality constraints
-
A. Edelman, T. A. Arias, and S. T. Smith. The geometry of algorithms with orthogonality constraints. SIAM J. Matrix Anal. Appl., 20(2):303-353, 1999.
-
(1999)
SIAM J. Matrix Anal. Appl
, vol.20
, Issue.2
, pp. 303-353
-
-
Edelman, A.1
Arias, T.A.2
Smith, S.T.3
-
11
-
-
10044285992
-
Canonical correlation analysis: An overview with application to learning methods
-
D. R. Hardoon, S. R. Szedmak, and J. R. Shawe-taylor. Canonical correlation analysis: An overview with application to learning methods. Neural Comput., 16(12):2639-2664, 2004.
-
(2004)
Neural Comput
, vol.16
, Issue.12
, pp. 2639-2664
-
-
Hardoon, D.R.1
Szedmak, S.R.2
Shawe-taylor, J.R.3
-
12
-
-
0003684449
-
-
Springer, New York, NY
-
T. Hastie, R. Tibshirani, and J. H. Friedman. The Elements of Statistical Learning. Springer, New York, NY, 2001.
-
(2001)
The Elements of Statistical Learning
-
-
Hastie, T.1
Tibshirani, R.2
Friedman, J.H.3
-
13
-
-
84942484786
-
Ridge regression: Biased estimation for nonorthogonal problems
-
A. E. Hoerl and R. W. Kennard. Ridge regression: Biased estimation for nonorthogonal problems. Technometrics, 12(1):55-67, 1970.
-
(1970)
Technometrics
, vol.12
, Issue.1
, pp. 55-67
-
-
Hoerl, A.E.1
Kennard, R.W.2
-
14
-
-
0000107975
-
Relations between two sets of variables
-
H. Hotelling. Relations between two sets of variables. Biometrika, 28:312-377, 1936.
-
(1936)
Biometrika
, vol.28
, pp. 312-377
-
-
Hotelling, H.1
-
16
-
-
84899033524
-
Maximal margin labeling for multi-topic text categorization
-
H. Kazawa, T. Izumitani, H. Taira, and E. Maeda. Maximal margin labeling for multi-topic text categorization. In Advances in Neural Information Processing Systems 17, pages 649-656. 2005.
-
(2005)
Advances in Neural Information Processing Systems
, vol.17
, pp. 649-656
-
-
Kazawa, H.1
Izumitani, T.2
Taira, H.3
Maeda, E.4
-
18
-
-
0039943513
-
LSQR: An algorithm for sparse linear equations and sparse least squares
-
C. C. Paige and M. A. Saunders. LSQR: An algorithm for sparse linear equations and sparse least squares. ACM Transactions on Mathematical Software, 8(1):43-71, 1982.
-
(1982)
ACM Transactions on Mathematical Software
, vol.8
, Issue.1
, pp. 43-71
-
-
Paige, C.C.1
Saunders, M.A.2
-
19
-
-
0041728680
-
On the laplacian spectrum and walk-regular hypergraphs
-
J. A. Rodriguez. On the laplacian spectrum and walk-regular hypergraphs. Linear and Multilinear Algebra, (1):285-297, 2003.
-
(2003)
Linear and Multilinear Algebra
, vol.1
, pp. 285-297
-
-
Rodriguez, J.A.1
-
20
-
-
34047200109
-
Sharing visual features for multiclass and multiview object detection
-
A. Torralba, K. P. Murphy, and W. T. Freeman. Sharing visual features for multiclass and multiview object detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(5):854-869, 2007.
-
(2007)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.29
, Issue.5
, pp. 854-869
-
-
Torralba, A.1
Murphy, K.P.2
Freeman, W.T.3
-
23
-
-
0003141935
-
A comparative study on feature selection in text categorization
-
Y. Yang and J. O. Pedersen. A comparative study on feature selection in text categorization. In ICML, pages 412-420, 1997.
-
(1997)
ICML
, pp. 412-420
-
-
Yang, Y.1
Pedersen, J.O.2
-
24
-
-
34547964600
-
Least squares linear discriminant analysis
-
J. Ye. Least squares linear discriminant analysis. In ICML, pages 1087-1094, 2007.
-
(2007)
ICML
, pp. 1087-1094
-
-
Ye, J.1
-
25
-
-
33750823079
-
Multi-output regularized feature projection
-
S. Yu, K. Yu, V. Tresp, and H.-P. Kriegel. Multi-output regularized feature projection. IEEE Transactions on Knowledge and Data Engineering, 18(12):1600-1613, 2006.
-
(2006)
IEEE Transactions on Knowledge and Data Engineering
, vol.18
, Issue.12
, pp. 1600-1613
-
-
Yu, S.1
Yu, K.2
Tresp, V.3
Kriegel, H.-P.4
-
26
-
-
33748366796
-
Multilabel neural networks with applications to functional genomics and text categorization
-
M.-L. Zhang and Z.-H. Zhou. Multilabel neural networks with applications to functional genomics and text categorization. IEEE Transactions on Knowledge and Data Engineering, 18(10):1338-1351, 2006.
-
(2006)
IEEE Transactions on Knowledge and Data Engineering
, vol.18
, Issue.10
, pp. 1338-1351
-
-
Zhang, M.-L.1
Zhou, Z.-H.2
-
27
-
-
33947681316
-
Ml-knn: A lazy learning approach to multi-label learning
-
M.-L. Zhang and Z.-H. Zhou. Ml-knn: A lazy learning approach to multi-label learning. Pattern Recognition, 40(7):2038-2048, 2007.
-
(2007)
Pattern Recognition
, vol.40
, Issue.7
, pp. 2038-2048
-
-
Zhang, M.-L.1
Zhou, Z.-H.2
-
28
-
-
84864027458
-
Learning with hypergraphs: Clustering, classification, and embedding
-
D. Zhou, J. Huang, and B. Schölkopf. Learning with hypergraphs: Clustering, classification, and embedding. In Advances in Neural Information Processing Systems 19, pages 1601-1608, 2007.
-
(2007)
Advances in Neural Information Processing Systems
, vol.19
, pp. 1601-1608
-
-
Zhou, D.1
Huang, J.2
Schölkopf, B.3
-
29
-
-
0032595820
-
Multilevel spectral hypergraph partitioning with arbitrary vertex sizes
-
J. Zien, M. Schlag, and P. Chan. Multilevel spectral hypergraph partitioning with arbitrary vertex sizes. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 18(9):1389-1399, 1999.
-
(1999)
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
, vol.18
, Issue.9
, pp. 1389-1399
-
-
Zien, J.1
Schlag, M.2
Chan, P.3
|