-
1
-
-
51549109223
-
Incremental Hessian locally linear embedding algorithm
-
Abdel-Mannan, O., Ben Hamza, A., Youssef, A., 2007. Incremental Hessian locally linear embedding algorithm. In: Internat. Symp. Signal Processing and its Applications, vol. 1-3, pp. 484-487.
-
(2007)
Internat. Symp. Signal Processing and Its Applications
, vol.1-3
, pp. 484-487
-
-
Abdel-Mannan, O.1
Ben Hamza, A.2
Youssef, A.3
-
2
-
-
0042378381
-
Laplacian eigenmaps for dimensionality reduction and data representation
-
DOI 10.1162/089976603321780317
-
M. Belkin, and P. Niyogi Laplacian eigenmaps for dimensionality reduction and data representation Neural Comput. 15 6 2003 1373 1396 (Pubitemid 37049796)
-
(2003)
Neural Computation
, vol.15
, Issue.6
, pp. 1373-1396
-
-
Belkin, M.1
Niyogi, P.2
-
4
-
-
33947233031
-
Out-of-sample extensions for LLE, Isomap, MDS, eigenmaps and spectral clustering
-
Bengio, Y., Paiement, J.F.O., Vincent, P., Delalleau, O., Le Roux, N., Ouimet, M., 2004. Out-of-sample extensions for LLE, Isomap, MDS, eigenmaps and spectral clustering. In: Advances in Neural Information Processing Systems, vol. 16, pp. 177-184.
-
(2004)
Advances in Neural Information Processing Systems
, vol.16
, pp. 177-184
-
-
Bengio, Y.1
Paiement, J.F.O.2
Vincent, P.3
Delalleau, O.4
Le Roux, N.5
Ouimet, M.6
-
5
-
-
33749260356
-
Cover trees for nearest neighbor
-
Beygelzimer, A., Kakade, S., Langford, J., 2006. Cover trees for nearest neighbor. In: Proc. 23rd Internat. Conf. Machine Learning, pp. 97-104.
-
(2006)
Proc. 23rd Internat. Conf. Machine Learning
, pp. 97-104
-
-
Beygelzimer, A.1
Kakade, S.2
Langford, J.3
-
7
-
-
56349128770
-
Algorithm 887: CHOLMOD, supernodal sparse Cholesky factorization and update/downdate
-
Y. Chen, T.A. Davis, W.W. Hager, and S. Rajamanickam Algorithm 887: CHOLMOD, supernodal sparse Cholesky factorization and update/downdate ACM Trans. Math. Software 35 3 2008 1 14
-
(2008)
ACM Trans. Math. Software
, vol.35
, Issue.3
, pp. 1-14
-
-
Chen, Y.1
Davis, T.A.2
Hager, W.W.3
Rajamanickam, S.4
-
12
-
-
0000764772
-
The use of multiple measurements in taxonomic problems
-
R.A. Fisher The use of multiple measurements in taxonomic problems Ann. Eugenics 7 1936 179 188
-
(1936)
Ann. Eugenics
, vol.7
, pp. 179-188
-
-
Fisher, R.A.1
-
13
-
-
0004236492
-
-
third ed. Johns Hopkins University Press Baltimore, MD
-
G.H. Golub, and C.F. Van Loan Matrix Computations third ed. 1996 Johns Hopkins University Press Baltimore, MD
-
(1996)
Matrix Computations
-
-
Golub, G.H.1
Van Loan, C.F.2
-
15
-
-
70350130624
-
Incremental Laplacian eigenmaps by preserving adjacent information between data points
-
P. Jia, J. Yin, X. Huang, and D. Hu Incremental Laplacian eigenmaps by preserving adjacent information between data points Pattern Recognition Lett. 30 16 2009 1457 1463
-
(2009)
Pattern Recognition Lett.
, vol.30
, Issue.16
, pp. 1457-1463
-
-
Jia, P.1
Yin, J.2
Huang, X.3
Hu, D.4
-
18
-
-
22844435049
-
Incremental locally linear embedding
-
DOI 10.1016/j.patcog.2005.04.006, PII S0031320305001792
-
O. Kouropteva, O. Okun, and M. Pietikänen Incremental locally linear embedding Pattern Recognition 38 10 2005 1764 1767 (Pubitemid 41037108)
-
(2005)
Pattern Recognition
, vol.38
, Issue.10
, pp. 1764-1767
-
-
Kouropteva, O.1
Okun, O.2
Pietikainen, M.3
-
19
-
-
41849113436
-
Sequential nonlinear manifold learning
-
S. Kumar, J. Guivant, B. Upcroft, and H.F. Durrant-Whyte Sequential nonlinear manifold learning Intell. Data Anal. 11 2 2007 203 222
-
(2007)
Intell. Data Anal.
, vol.11
, Issue.2
, pp. 203-222
-
-
Kumar, S.1
Guivant, J.2
Upcroft, B.3
Durrant-Whyte, H.F.4
-
22
-
-
33749385913
-
Incremental manifold learning via tangent space alignment
-
Artificial Neural Networks in Pattern Recognition - Second IAPR Workshop, ANNPR 2006, Proceedings
-
Liu, X., Yin, J., Feng, Z., Dong. J., 2006. Incremental manifold learning via tangent space alignment. In: Proc. Artificial Neural Networks in Pattern Recognition, vol. 4087, pp. 107-121. (Pubitemid 44502875)
-
(2006)
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
, vol.4087
, pp. 107-121
-
-
Liu, X.1
Yin, J.2
Feng, Z.3
Dong, J.4
-
23
-
-
0000325341
-
On lines and planes of closest fit to systems of points in space
-
K. Pearson On lines and planes of closest fit to systems of points in space Philos. Mag. 2 6 1901 559 572
-
(1901)
Philos. Mag.
, vol.2
, Issue.6
, pp. 559-572
-
-
Pearson, K.1
-
24
-
-
0034704222
-
Nonlinear dimensionality reduction by locally linear embedding
-
DOI 10.1126/science.290.5500.2323
-
S.T. Roweis, and L.K. Saul Nonlinear dimensionality reduction by locally linear embedding Science 290 2000 2323 2326 (Pubitemid 32041578)
-
(2000)
Science
, vol.290
, Issue.5500
, pp. 2323-2326
-
-
Roweis, S.T.1
Saul, L.K.2
-
25
-
-
2342517502
-
Think globally, fit locally: Unsupervised learning of low dimensional manifold
-
L.K. Saul, and S.T. Roweis Think globally, fit locally: Unsupervised learning of low dimensional manifold J. Machine Learn. Res. 4 2 2003 119 155
-
(2003)
J. Machine Learn. Res.
, vol.4
, Issue.2
, pp. 119-155
-
-
Saul, L.K.1
Roweis, S.T.2
-
26
-
-
84899009769
-
Global versus local approaches to nonlinear dimensionality reduction
-
Silva, V. de, Tenenbaum, J.B., 2003. Global versus local approaches to nonlinear dimensionality reduction. In: Advances in Neural Information Processing Systems, vol. 15, pp. 705-712.
-
(2003)
Advances in Neural Information Processing Systems
, vol.15
, pp. 705-712
-
-
De Silva, V.1
Tenenbaum, J.B.2
-
27
-
-
79956343702
-
Perturbation analysis of a manifold learning algorithm - Hessian locally linear embedding
-
Georgia Institute of Technology, Atlanta, GA
-
Smith, A.K., Huo, X., 2006. Perturbation analysis of a manifold learning algorithm - Hessian locally linear embedding. Technical Report, Georgia Institute of Technology, Atlanta, GA.
-
(2006)
Technical Report
-
-
Smith, A.K.1
Huo, X.2
-
28
-
-
0000821683
-
Accelerating the orthogonal iteration for the eigenvectors of a Hermitian matrix
-
G.W. Stewart Accelerating the orthogonal iteration for the eigenvectors of a Hermitian matrix Numer. Math. 13 4 1969 362 376
-
(1969)
Numer. Math.
, vol.13
, Issue.4
, pp. 362-376
-
-
Stewart, G.W.1
-
29
-
-
0034704229
-
A global geometric framework for nonlinear dimensionality reduction
-
DOI 10.1126/science.290.5500.2319
-
J.B. Tenenbaum, V. de Silva, and J.C. Langford A global geometric framework for nonlinear dimensionality reduction Science 290 2000 2319 2323 (Pubitemid 32041577)
-
(2000)
Science
, vol.290
, Issue.5500
, pp. 2319-2323
-
-
Tenenbaum, J.B.1
De Silva, V.2
Langford, J.C.3
-
30
-
-
5044226695
-
Unsupervised learning of image manifolds by semidefinite programming
-
Weinberger, K., Saul, L.K., 2004. Unsupervised learning of image manifolds by semidefinite programming. In: IEEE Internat. Conf. Computer Vision and Pattern Recognition, vol. 2, pp. 988-995.
-
(2004)
IEEE Internat. Conf. Computer Vision and Pattern Recognition
, vol.2
, pp. 988-995
-
-
Weinberger, K.1
Saul, L.K.2
-
31
-
-
67349098382
-
Embedding new data points for manifold learning via coordinate propagation
-
S. Xiang, F. Nie, Y. Song, C. Zhang, and C. Zhang Embedding new data points for manifold learning via coordinate propagation Knowl. Inf. Systems 19 2 2009 159 184
-
(2009)
Knowl. Inf. Systems
, vol.19
, Issue.2
, pp. 159-184
-
-
Xiang, S.1
Nie, F.2
Song, Y.3
Zhang, C.4
Zhang, C.5
-
32
-
-
68549104123
-
Nonlinear dimensionality reduction with local spline embedding
-
S. Xiang, F. Nie, C. Zhang, and C. Zhang Nonlinear dimensionality reduction with local spline embedding IEEE Trans. Knowl. Data Eng. 21 9 2009 1285 1298
-
(2009)
IEEE Trans. Knowl. Data Eng.
, vol.21
, Issue.9
, pp. 1285-1298
-
-
Xiang, S.1
Nie, F.2
Zhang, C.3
Zhang, C.4
-
33
-
-
33947194180
-
Graph embedding and extensions: A general framework for dimensionality reduction
-
DOI 10.1109/TPAMI.2007.250598
-
S. Yan, D. Xu, B. Zhang, H. Zhang, Q. Yang, and S. Lin Graph embedding and extensions: A general framework for dimensionality reduction IEEE Trans. Pattern Anal. Machine Intell. 29 1 2007 40 51 (Pubitemid 46415944)
-
(2007)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.29
, Issue.1
, pp. 40-51
-
-
Yan, S.1
Xu, D.2
Zhang, B.3
Zhang, H.-J.4
Yang, Q.5
Lin, S.6
-
34
-
-
77958589503
-
Local and global regressive mapping for manifold learning with out-of-sample extrapolation
-
Yang, Y., Nie, F., Xiang, S., Zhuang, Y., Wang, W., 2010. Local and global regressive mapping for manifold learning with out-of-sample extrapolation. In: Proc. 24th AAAI Conf. Artificial Intelligence, pp. 649-654.
-
(2010)
Proc. 24th AAAI Conf. Artificial Intelligence
, pp. 649-654
-
-
Yang, Y.1
Nie, F.2
Xiang, S.3
Zhuang, Y.4
Wang, W.5
-
35
-
-
0036128861
-
ViSOM-a novel method for multivariate data projection and structure visualization
-
DOI 10.1109/72.977314, PII S1045922702003508
-
H. Yin ViSOM - A novel method for multivariate data projection and structure visualisation IEEE Trans. Neural Networks 13 1 2002 237 243 (Pubitemid 34236851)
-
(2002)
IEEE Transactions on Neural Networks
, vol.13
, Issue.1
, pp. 237-243
-
-
Yin, H.1
-
36
-
-
40649084778
-
On multidimensional scaling and the embedding of self-organising maps
-
H. Yin On multidimensional scaling and the embedding of self-organising maps Neural Networks 21 2-3 2008 160 169
-
(2008)
Neural Networks
, vol.21
, Issue.23
, pp. 160-169
-
-
Yin, H.1
-
37
-
-
14544307975
-
Principal manifolds and nonlinear dimension reduction via local tangent space alignment
-
Z. Zhang, and H. Zha Principal manifolds and nonlinear dimension reduction via local tangent space alignment SIAM J. Sci. Comput. 26 1 2004 313 338
-
(2004)
SIAM J. Sci. Comput.
, vol.26
, Issue.1
, pp. 313-338
-
-
Zhang, Z.1
Zha, H.2
|