-
2
-
-
35248856354
-
On spectral graph drawing
-
LNCS, Springer: Berlin
-
Koren Y. On spectral graph drawing. COCOON 03, LNCS, vol. 2697. Springer: Berlin, 2003; 496-508.
-
(2003)
COCOON 03
, vol.2697
, pp. 496-508
-
-
Koren, Y.1
-
4
-
-
0242321314
-
Predicting crystal structures with data mining of quantum calculations
-
Curtarolo S, Morgan D, Persson K, Rodgers J, Ceder G. Predicting crystal structures with data mining of quantum calculations. Physical Review Letters 2003; 91(13):135503.
-
(2003)
Physical Review Letters
, vol.91
, Issue.13
, pp. 135503
-
-
Curtarolo, S.1
Morgan, D.2
Persson, K.3
Rodgers, J.4
Ceder, G.5
-
5
-
-
33846210105
-
Data-mining-driven quantum mechanics for the prediction of structure
-
Ceder G, Morgan D, Fischer C, Tibbetts K, Curtarolo S. Data-mining-driven quantum mechanics for the prediction of structure. MRS Bulletin 2006; 31:981-985.
-
(2006)
MRS Bulletin
, vol.31
, pp. 981-985
-
-
Ceder, G.1
Morgan, D.2
Fischer, C.3
Tibbetts, K.4
Curtarolo, S.5
-
6
-
-
33745297141
-
Dimensional reduction at a quantum critical point
-
Sebastian SE, Harrison N, Batista CD, Balicas L, Jaime M, Sharma PA, Kawashima N, Fisher IR. Dimensional reduction at a quantum critical point. Nature 2006; 441:617.
-
(2006)
Nature
, vol.441
, pp. 617
-
-
Sebastian, S.E.1
Harrison, N.2
Batista, C.D.3
Balicas, L.4
Jaime, M.5
Sharma, P.A.6
Kawashima, N.7
Fisher, I.R.8
-
7
-
-
79954558504
-
-
http://www.cs.toronto.edu/~roweis/data.html.
-
-
-
-
8
-
-
39449104740
-
Pattern Recognition and Machine Learning
-
Springer: Berlin
-
Bishop CM. Pattern Recognition and Machine Learning. Information Science and Statistics. Springer: Berlin, 2006.
-
(2006)
Information Science and Statistics
-
-
Bishop, C.M.1
-
9
-
-
0034704222
-
Nonlinear dimensionality reduction by locally linear embedding
-
Roweis S, Saul L. Nonlinear dimensionality reduction by locally linear embedding. Science 2000; 290:2323-2326.
-
(2000)
Science
, vol.290
, pp. 2323-2326
-
-
Roweis, S.1
Saul, L.2
-
11
-
-
0042378381
-
Laplacian eigenmaps for dimensionality reduction and data representation
-
Belkin M, Niyogi P. Laplacian eigenmaps for dimensionality reduction and data representation. Neural Computation 2003; 15(6):1373-1396.
-
(2003)
Neural Computation
, vol.15
, Issue.6
, pp. 1373-1396
-
-
Belkin, M.1
Niyogi, P.2
-
12
-
-
14544307975
-
Principal manifolds and nonlinear dimensionality reduction via tangent space alignment
-
Zhang Z, Zha H. Principal manifolds and nonlinear dimensionality reduction via tangent space alignment. SIAM Journal on Scientific Computing 2005; 26(1):313-338.
-
(2005)
SIAM Journal on Scientific Computing
, vol.26
, Issue.1
, pp. 313-338
-
-
Zhang, Z.1
Zha, H.2
-
13
-
-
0034704229
-
A global geometric framework for nonlinear dimensionality reduction
-
Tenenbaum JB, de Silva V, Langford JC. A global geometric framework for nonlinear dimensionality reduction. Science 2000; 290:2319-2323.
-
(2000)
Science
, vol.290
, pp. 2319-2323
-
-
Tenenbaum, J.B.1
de Silva, V.2
Langford, J.C.3
-
14
-
-
5044226695
-
-
Unsupervised learning of image manifolds by semidefinite programming. Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Washington, DC, U.S.A., 2004.
-
Weinberger KQ, Saul LK. Unsupervised learning of image manifolds by semidefinite programming. Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Washington, DC, U.S.A., 2004.
-
-
-
Weinberger, K.Q.1
Saul, L.K.2
-
15
-
-
31844449616
-
-
Analysis and extension of spectral methods for nonlinear dimensionality reduction. Proceedings of the 22nd International Conference on Machine Learning (ICML), Bonn, Germany, 2005.
-
Sha F, Saul LK. Analysis and extension of spectral methods for nonlinear dimensionality reduction. Proceedings of the 22nd International Conference on Machine Learning (ICML), Bonn, Germany, 2005.
-
-
-
Sha, F.1
Saul, L.K.2
-
16
-
-
34548547033
-
Orthogonal neighborhood preserving projections
-
Houston, TX, 27-30 November Han J (eds). IEEE: New York
-
Kokiopoulou E, Saad Y. Orthogonal neighborhood preserving projections. In IEEE 5th International Conference on Data Mining (ICDM05), Houston, TX, 27-30 November Han J et al. (eds). IEEE: New York, 2005; 234-241.
-
(2005)
IEEE 5th International Conference on Data Mining (ICDM05)
, pp. 234-241
-
-
Kokiopoulou, E.1
Saad, Y.2
-
17
-
-
11144299132
-
A kernel view of the dimensionality reduction of manifolds
-
ACM: New York, NY, U.S.A.
-
Ham J, Lee DD, Mika S, Schölkopf B. A kernel view of the dimensionality reduction of manifolds. ICML '04: Proceedings of the 21st International Conference on Machine Learning. ACM: New York, NY, U.S.A., 2004; 47.
-
(2004)
ICML '04: Proceedings of the 21st International Conference on Machine Learning
, pp. 47
-
-
Ham, J.1
Lee, D.D.2
Mika, S.3
Schölkopf, B.4
-
18
-
-
0036165146
-
On a connection between kernel PCA and metric multidimensional scaling
-
Williams CKI. On a connection between kernel PCA and metric multidimensional scaling. Machine Learning 2002; 46(1-3):11-19.
-
(2002)
Machine Learning
, vol.46
, Issue.1-3
, pp. 11-19
-
-
Williams, C.K.I.1
-
21
-
-
0346034995
-
A generalized Foley-Sammon transform based on generalized Fisher discriminant criterion and its application to face recognition
-
Guo Y-F, Li S-J, Yang J-Y, Shu T-T, Wu L-D. A generalized Foley-Sammon transform based on generalized Fisher discriminant criterion and its application to face recognition. Pattern Recognition Letters 2003; 24(1-3):147-158.
-
(2003)
Pattern Recognition Letters
, vol.24
, Issue.1-3
, pp. 147-158
-
-
Guo, Y.-F.1
Li, S.-J.2
Yang, J.-Y.3
Shu, T.-T.4
Wu, L.-D.5
-
22
-
-
35148823228
-
Trace ratio vs. ratio trace for dimensionality reduction
-
Wang H, Yan SC, Xu D, Tang XO, Huang T. Trace ratio vs. ratio trace for dimensionality reduction. IEEE Conference on Computer Vision and Pattern Recognition, 2007; 17-22.
-
(2007)
IEEE Conference on Computer Vision and Pattern Recognition
, pp. 17-22
-
-
Wang, H.1
Yan, S.C.2
Xu, D.3
Tang, X.O.4
Huang, T.5
-
23
-
-
49449088902
-
Learning a mahalanobis distance metric for data clustering and classification
-
Xiang S, Nie F, Zhang C. Learning a mahalanobis distance metric for data clustering and classification. Pattern Recognition 2008; 41(12):3600-3612.
-
(2008)
Pattern Recognition
, vol.41
, Issue.12
, pp. 3600-3612
-
-
Xiang, S.1
Nie, F.2
Zhang, C.3
-
24
-
-
33745829806
-
Trace quotient problems revisited
-
In (Lecture Notes in Computer Science), Leonardis A, Bischof H, Pinz A (eds). Springer: Berlin-Heidelberg, Number 3952.
-
Yan S, Tang X. Trace quotient problems revisited. In Proceedings of the European Conference on Computer Vision (Lecture Notes in Computer Science, vol. 2), Leonardis A, Bischof H, Pinz A (eds). Springer: Berlin-Heidelberg, 2006; 232-244, Number 3952.
-
(2006)
Proceedings of the European Conference on Computer Vision
, vol.2
, pp. 232-244
-
-
Yan, S.1
Tang, X.2
-
25
-
-
67649427872
-
Semi-supervised orthogonal discriminant analysis via label propagation
-
Nie F, Xiang S, Jia Y, Zhang C. Semi-supervised orthogonal discriminant analysis via label propagation. Pattern Recognition 2009; 42:2615-2627.
-
(2009)
Pattern Recognition
, vol.42
, pp. 2615-2627
-
-
Nie, F.1
Xiang, S.2
Jia, Y.3
Zhang, C.4
-
26
-
-
2342517502
-
Think globally, fit locally: unsupervised learning of nonlinear manifolds
-
Saul L, Roweis S. Think globally, fit locally: unsupervised learning of nonlinear manifolds. Journal of Machine Learning Research 2003; 4:119-155.
-
(2003)
Journal of Machine Learning Research
, vol.4
, pp. 119-155
-
-
Saul, L.1
Roweis, S.2
-
27
-
-
84880203756
-
Laplacian eigenmaps and spectral techniques for embedding and clustering
-
MIT Press: Cambridge, MA
-
Belkin M, Niyogi P. Laplacian eigenmaps and spectral techniques for embedding and clustering. Advances in Neural Information Processing Systems 14. MIT Press: Cambridge, MA, 2001; 585-591.
-
(2001)
Advances in Neural Information Processing Systems 14
, pp. 585-591
-
-
Belkin, M.1
Niyogi, P.2
-
28
-
-
79954537156
-
-
Locality preserving projections. Proceedings of Conference on Advances in Neural Information Processing Systems, Vancouver, BC, Canada, 2003.
-
He X, Niyogi P. Locality preserving projections. Proceedings of Conference on Advances in Neural Information Processing Systems, Vancouver, BC, Canada, 2003.
-
-
-
He, X.1
Niyogi, P.2
-
29
-
-
36248950635
-
Orthogonal neighborhood preserving projections: a projection-based dimensionality reduction technique
-
Kokiopoulou E, Saad Y. Orthogonal neighborhood preserving projections: a projection-based dimensionality reduction technique. IEEE TPAMI 2007; 29:2143-2156.
-
(2007)
IEEE TPAMI
, vol.29
, pp. 2143-2156
-
-
Kokiopoulou, E.1
Saad, Y.2
-
31
-
-
84950351930
-
Multidimensional scaling: I. Theory and method
-
Torgerson WS. Multidimensional scaling: I. Theory and method. Psychometrika 1952; 17(4):401-419.
-
(1952)
Psychometrika
, vol.17
, Issue.4
, pp. 401-419
-
-
Torgerson, W.S.1
-
32
-
-
33750378734
-
Orthogonal Laplacian faces for face recognition
-
Cai D, He X, Han J, Zhang H-J. Orthogonal Laplacian faces for face recognition. IEEE Transactions on Image Processing 2006; 15(11):3608-3614.
-
(2006)
IEEE Transactions on Image Processing
, vol.15
, Issue.11
, pp. 3608-3614
-
-
Cai, D.1
He, X.2
Han, J.3
Zhang, H.-J.4
-
35
-
-
49049111209
-
-
Semi-supervised discriminant analysis. IEEE International Conference on Computer Vision (ICCV), Rio de Janeiro, Brazil, 2007.
-
Cai D, He X, Han J. Semi-supervised discriminant analysis. IEEE International Conference on Computer Vision (ICCV), Rio de Janeiro, Brazil, 2007.
-
-
-
Cai, D.1
He, X.2
Han, J.3
-
36
-
-
44649132677
-
A unified framework for semi-supervised dimensionality reduction
-
Song Y, Nie F, Zhang C, Xiang S. A unified framework for semi-supervised dimensionality reduction. Pattern Recognition 2008; 41:2789-2799.
-
(2008)
Pattern Recognition
, vol.41
, pp. 2789-2799
-
-
Song, Y.1
Nie, F.2
Zhang, C.3
Xiang, S.4
-
37
-
-
51949087958
-
-
Semi-supervised discriminant analysis using robust path-based similarity. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska, 2008.
-
Zhang Y, Yeung D-Y. Semi-supervised discriminant analysis using robust path-based similarity. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska, 2008.
-
-
-
Zhang, Y.1
Yeung, D.-Y.2
-
38
-
-
56049095557
-
Semi-supervised discriminant analysis via CCCP
-
Zhang Y, Yeung D-Y. Semi-supervised discriminant analysis via CCCP. ECML/PKDD, 2008; 644-659.
-
(2008)
ECML/PKDD
, pp. 644-659
-
-
Zhang, Y.1
Yeung, D.-Y.2
-
39
-
-
33749248511
-
-
Semi-supervised nonlinear dimensionality reduction. The 23rd International Conference on Machine Learning (ICML), Pittsburg, PA, U.S.A., 2006.
-
Yang X, Fu H, Zha H, Barlow J. Semi-supervised nonlinear dimensionality reduction. The 23rd International Conference on Machine Learning (ICML), Pittsburg, PA, U.S.A., 2006.
-
-
-
Yang, X.1
Fu, H.2
Zha, H.3
Barlow, J.4
-
40
-
-
51949118011
-
-
Spectral methods for semi-supervised manifold learning. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska, 2008.
-
Zhang Z, Zha H, Zhang M. Spectral methods for semi-supervised manifold learning. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska, 2008.
-
-
-
Zhang, Z.1
Zha, H.2
Zhang, M.3
-
43
-
-
79954523078
-
-
Spectral clustering. International Conference on Machine Learning 2004 Tutorial, 2004.
-
Ding C. Spectral clustering. International Conference on Machine Learning 2004 Tutorial, 2004.
-
-
-
Ding, C.1
-
44
-
-
34548583274
-
A tutorial on spectral clustering
-
Luxburg U. A tutorial on spectral clustering. Statistics and Computing 2007; 17(4):395-416.
-
(2007)
Statistics and Computing
, vol.17
, Issue.4
, pp. 395-416
-
-
Luxburg, U.1
-
47
-
-
0000827674
-
A property of eigenvectors of nonnegative symmetric matrices and its applications to graph theory
-
Fiedler M. A property of eigenvectors of nonnegative symmetric matrices and its applications to graph theory. Czechoslovak Mathematical Journal 1975; 25:619-633.
-
(1975)
Czechoslovak Mathematical Journal
, vol.25
, pp. 619-633
-
-
Fiedler, M.1
-
48
-
-
0035272287
-
An introduction to kernel-based learning algorithms
-
Müller KR, Mika S, Ratsch G, Tsuda K, Scholkopf B. An introduction to kernel-based learning algorithms. IEEE Transactions on Neural Networks 2001; 12:181-201.
-
(2001)
IEEE Transactions on Neural Networks
, vol.12
, pp. 181-201
-
-
Müller, K.R.1
Mika, S.2
Ratsch, G.3
Tsuda, K.4
Scholkopf, B.5
-
50
-
-
0003408420
-
-
MIT Press: Cambridge, MA
-
Schlköpf B, Smola AJ. Learning with Kernels: Support Vector Machines, Regularization, Optimization and Beyond. MIT Press: Cambridge, MA, 2001.
-
(2001)
Learning with Kernels: Support Vector Machines, Regularization, Optimization and Beyond
-
-
Schlköpf, B.1
Smola, A.J.2
-
53
-
-
0347243182
-
Nonlinear component analysis as a kernel eigenvalue problem
-
Schölkopf B, Smola A, Muller K. Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation 1998; 10:1299-1319.
-
(1998)
Neural Computation
, vol.10
, pp. 1299-1319
-
-
Schölkopf, B.1
Smola, A.2
Muller, K.3
-
54
-
-
33847766633
-
Random-walk computation of similarities between nodes of a graph with application to collaborative recommendation
-
Fouss F, Pirotte A, Renders J-M, Saerens M. Random-walk computation of similarities between nodes of a graph with application to collaborative recommendation. IEEE Transactions on Knowledge and Data Engineering 2007; 19(3):355-369.
-
(2007)
IEEE Transactions on Knowledge and Data Engineering
, vol.19
, Issue.3
, pp. 355-369
-
-
Fouss, F.1
Pirotte, A.2
Renders, J.-M.3
Saerens, M.4
-
55
-
-
33947233031
-
Out-of-sample extensions for LLE, Isomap, MDS, Eigenmaps, and spectral clustering
-
Vancouver, Canada, Thrun S, Saul L, Schölkopf B (eds). MIT Press: Cambridge, MA
-
Bengio Y, Paiement J-F, Vincent P, Delalleau O, Le Roux N, Ouimet M. Out-of-sample extensions for LLE, Isomap, MDS, Eigenmaps, and spectral clustering. In Advances in Neural Information Processing Systems 16, Vancouver, Canada, Thrun S, Saul L, Schölkopf B (eds). MIT Press: Cambridge, MA, 2004.
-
(2004)
Advances in Neural Information Processing Systems 16
-
-
Bengio, Y.1
Paiement, J.-F.2
Vincent, P.3
Delalleau, O.4
Le Roux, N.5
Ouimet, M.6
-
56
-
-
22644451496
-
Principal direction divisive partitioning
-
Boley D. Principal direction divisive partitioning. Data Mining and Knowledge Discovery 1998; 2(4):325-344.
-
(1998)
Data Mining and Knowledge Discovery
, vol.2
, Issue.4
, pp. 325-344
-
-
Boley, D.1
-
58
-
-
79954453403
-
-
UCI machine learning repository (multiple features data set). Available from.
-
Asuncion A, Newman DJ. UCI machine learning repository (multiple features data set). Available from.
-
-
-
Asuncion, A.1
Newman, D.J.2
-
60
-
-
0028734063
-
-
Parameterisation of a stochastic model for human face identification. The 2nd IEEE Workshop on Applications of Computer Vision, Sarasota FL, December 1994.
-
Samaria F, Harter A. Parameterisation of a stochastic model for human face identification. The 2nd IEEE Workshop on Applications of Computer Vision, Sarasota FL, December 1994.
-
-
-
Samaria, F.1
Harter, A.2
-
61
-
-
79954473827
-
-
The AR face database. Technical Report 24, CVC
-
Martinez AM, Benavente R. The AR face database. Technical Report 24, CVC, 1998.
-
(1998)
-
-
Martinez, A.M.1
Benavente, R.2
-
63
-
-
34249753618
-
Support-vector networks
-
Cortes C, Vapnik V. Support-vector networks. Machine Learning 1995; 20(3):273-297.
-
(1995)
Machine Learning
, vol.20
, Issue.3
, pp. 273-297
-
-
Cortes, C.1
Vapnik, V.2
-
67
-
-
29344456217
-
-
Unsupervised and semi-supervised multi-class support vector machines. Proceedings of the 20th National Conference on Artificial Intelligence, Pittsburg, PA, U.S.A., 2005.
-
Xu L, Schuurmans D. Unsupervised and semi-supervised multi-class support vector machines. Proceedings of the 20th National Conference on Artificial Intelligence, Pittsburg, PA, U.S.A., 2005.
-
-
-
Xu, L.1
Schuurmans, D.2
-
69
-
-
83855163194
-
-
Nonlinear dimensionality reduction by semidefinite programming and kernel matrix factorization. Proceedings of the 10th International Workshop on Artificial Intelligence and Statistics, Barbados, 2005.
-
Weinberger K, Packer B, Saul L. Nonlinear dimensionality reduction by semidefinite programming and kernel matrix factorization. Proceedings of the 10th International Workshop on Artificial Intelligence and Statistics, Barbados, 2005.
-
-
-
Weinberger, K.1
Packer, B.2
Saul, L.3
|