-
1
-
-
0042378381
-
Laplacian eigenmaps for dimensionality reduction and data representation
-
M. Belkin and P. Niyogi. Laplacian eigenmaps for dimensionality reduction and data representation. Neural Computation, 15(6):1373-1396, 2003.
-
(2003)
Neural Computation
, vol.15
, Issue.6
, pp. 1373-1396
-
-
Belkin, M.1
Niyogi, P.2
-
2
-
-
55349134896
-
1-norm minimization problems when the solution may be sparse
-
D. Donoho and Y. Tsaig. Fast solution of l1-norm minimization problems when the solution may be sparse. IEEE Trans. IT, 54(11):4789-4812, 2008.
-
(2008)
IEEE Trans. IT
, vol.54
, Issue.11
, pp. 4789-4812
-
-
Donoho, D.1
Tsaig, Y.2
-
3
-
-
85162319688
-
Sparse manifold clustering and embedding
-
E. Elhamifar and R. Vidal. Sparse manifold clustering and embedding. In NIPS, 2011.
-
(2011)
NIPS
-
-
Elhamifar, E.1
Vidal, R.2
-
5
-
-
84887601251
-
Iterative quantization: A procrustean approach to learning binary codes for large-scale image retrieval
-
Y. Gong, S. Lazebnik, A. Gordo, and F. Perronnin. Iterative quantization: A procrustean approach to learning binary codes for large-scale image retrieval. IEEE Trans. PAMI, 35(12):2916-2929, 2013.
-
(2013)
IEEE Trans. PAMI
, vol.35
, Issue.12
, pp. 2916-2929
-
-
Gong, Y.1
Lazebnik, S.2
Gordo, A.3
Perronnin, F.4
-
6
-
-
84887359482
-
K-means hashing: An affinity-preserving quantization method for learning binary compact codes
-
K. He, F. Wen, and J. Sun. K-means hashing: an affinity-preserving quantization method for learning binary compact codes. In CVPR, 2013.
-
(2013)
CVPR
-
-
He, K.1
Wen, F.2
Sun, J.3
-
7
-
-
84866674730
-
Spherical hashing
-
J.-P. Heo, Y. Lee, J. He, S.-F. Chang, and S.-E. Yoon. Spherical hashing. In CVPR, 2012.
-
(2012)
CVPR
-
-
Heo, J.-P.1
Lee, Y.2
He, J.3
Chang, S.-F.4
Yoon, S.-E.5
-
8
-
-
0031644241
-
Approximate nearest neighbors: Towards removing the curse of dimensionality
-
P. Indyk and R. Motwani. Approximate nearest neighbors: Towards removing the curse of dimensionality. In STOC, 1998.
-
(1998)
STOC
-
-
Indyk, P.1
Motwani, R.2
-
9
-
-
78649317568
-
Product quantization for nearest neighbor search
-
H. Jégou, M. Douze, and C. Schmid. Product quantization for nearest neighbor search. IEEE Trans. PAMI, 33(1):117-128, 2011.
-
(2011)
IEEE Trans. PAMI
, vol.33
, Issue.1
, pp. 117-128
-
-
Jégou, H.1
Douze, M.2
Schmid, C.3
-
10
-
-
84858740468
-
Learning to hash with binary reconstructive embeddings
-
B. Kulis and T. Darrell. Learning to hash with binary reconstructive embeddings. In NIPS, 2009.
-
(2009)
NIPS
-
-
Kulis, B.1
Darrell, T.2
-
11
-
-
84860241633
-
Kernelized locality-sensitive hashing
-
B. Kulis, P. Jain, and K. Grauman. Kernelized locality-sensitive hashing. IEEE Trans. PAMI, 34(6):1092-1104, 2012.
-
(2012)
IEEE Trans. PAMI
, vol.34
, Issue.6
, pp. 1092-1104
-
-
Kulis, B.1
Jain, P.2
Grauman, K.3
-
12
-
-
84866726818
-
Supervised hashing with kernels
-
W. Liu, J. Wang, R. Ji, Y.-G. Jiang, and S.-F. Chang. Supervised hashing with kernels. In CVPR, 2012.
-
(2012)
CVPR
-
-
Liu, W.1
Wang, J.2
Ji, R.3
Jiang, Y.-G.4
Chang, S.-F.5
-
14
-
-
85167402693
-
Non-metric locality-sensitive hashing
-
Y. Mu and S. Yan. Non-metric locality-sensitive hashing. In AAAI, 2010.
-
(2010)
AAAI
-
-
Mu, Y.1
Yan, S.2
-
15
-
-
80053457714
-
Minimal loss hashing for compact binary codes
-
M. Norouzi and D. J. Fleet. Minimal loss hashing for compact binary codes. In ICML, 2011.
-
(2011)
ICML
-
-
Norouzi, M.1
Fleet, D.J.2
-
16
-
-
0034704222
-
Nonlinear dimensionality reduction by locally linear embedding
-
S. Roweis and L. Saul. Nonlinear dimensionality reduction by locally linear embedding. Science, 290:2323-2326, 2000.
-
(2000)
Science
, vol.290
, pp. 2323-2326
-
-
Roweis, S.1
Saul, L.2
-
17
-
-
2342517502
-
Think globally, fit locally: Unsuper-vised learning of low dimensional manifolds
-
L. Saul and S. Roweis. Think globally, fit locally: Unsuper-vised learning of low dimensional manifolds. JMLR, 4:119-155, 2003.
-
(2003)
JMLR
, vol.4
, pp. 119-155
-
-
Saul, L.1
Roweis, S.2
-
20
-
-
84865410773
-
Semi-supervised hashing for large-scale search
-
J. Wang, S. Kumar, and S.-F. Chang. Semi-supervised hashing for large-scale search. IEEE Trans. PAMI, 34:2393-2406, 2012.
-
(2012)
IEEE Trans. PAMI
, vol.34
, pp. 2393-2406
-
-
Wang, J.1
Kumar, S.2
Chang, S.-F.3
-
21
-
-
77955996870
-
Locality-constrained linear coding for image classification
-
J. Wang, J. Yang, K. Yu, F. Lv, T. Huang, and Y. Gong. Locality-constrained linear coding for image classification. In CVPR, 2010.
-
(2010)
CVPR
-
-
Wang, J.1
Yang, J.2
Yu, K.3
Lv, F.4
Huang, T.5
Gong, Y.6
-
22
-
-
33744949513
-
Unsupervised learning of image manifolds by semidefinite programming
-
K. Q. Weinberger and L. K. Saul. Unsupervised learning of image manifolds by semidefinite programming. IJCV, 70(1):77-90, 2006.
-
(2006)
IJCV
, vol.70
, Issue.1
, pp. 77-90
-
-
Weinberger, K.Q.1
Saul, L.K.2
-
25
-
-
0344551898
-
Multiclass spectral clustering
-
S. Yu and J. Shi. Multiclass spectral clustering. In ICCV, 2003.
-
(2003)
ICCV
-
-
Yu, S.1
Shi, J.2
-
26
-
-
77956027394
-
Self-taught hashing for fast similarity search
-
D. Zhang, J. Wang, D. Cai, and J. Lu. Self-taught hashing for fast similarity search. In SIGIR, 2010.
-
(2010)
SIGIR
-
-
Zhang, D.1
Wang, J.2
Cai, D.3
Lu, J.4
-
27
-
-
84055176547
-
Adaptive manifold learning
-
Z. Zhang, J. Wang, and H. Zha. Adaptive manifold learning. IEEE Trans. PAMI, 34(2):253-265, 2012.
-
(2012)
IEEE Trans. PAMI
, vol.34
, Issue.2
, pp. 253-265
-
-
Zhang, Z.1
Wang, J.2
Zha, H.3
|