-
2
-
-
77955989956
-
Data fusion through cross-modality metric learning using similarity-sensitive hashing
-
M. M. Bronstein, A. M. Bronstein, F. Michel, and N. Paragios. Data fusion through cross-modality metric learning using similarity-sensitive hashing. In CVPR, pages 3594-3601, 2010.
-
(2010)
CVPR
, pp. 3594-3601
-
-
Bronstein, M.M.1
Bronstein, A.M.2
Michel, F.3
Paragios, N.4
-
3
-
-
78149293665
-
Fast approximate nearest neighbor methods for non-euclidean manifolds with applications to human activity analysis in videos
-
R. Chaudhry and Y. Ivanov. Fast approximate nearest neighbor methods for non-euclidean manifolds with applications to human activity analysis in videos. In ECCV, pages 735-748, 2010.
-
(2010)
ECCV
, pp. 735-748
-
-
Chaudhry, R.1
Ivanov, Y.2
-
6
-
-
74049158146
-
Nus-wide: A real-world web image database from national university of Singapore
-
T.-S. Chua, J. Tang, R. Hong, H. Li, Z. Luo, and Y. Zheng. Nus-wide: A real-world web image database from national university of singapore. In CIVR, pages 48-56, 2009.
-
(2009)
CIVR
, pp. 48-56
-
-
Chua, T.-S.1
Tang, J.2
Hong, R.3
Li, H.4
Luo, Z.5
Zheng, Y.6
-
7
-
-
4544259509
-
Locality-sensitive hashing scheme based on p-stable distributions
-
M. Datar, N. Immorlica, P. Indyk, and V. S. Mirrokni. Locality-sensitive hashing scheme based on p-stable distributions. In SOCG, pages 253-262, 2004.
-
(2004)
SOCG
, pp. 253-262
-
-
Datar, M.1
Immorlica, N.2
Indyk, P.3
Mirrokni, V.S.4
-
8
-
-
15044355327
-
Similarity search in high dimensions via hashing
-
A. Gionis, P. Indyk, and R. Motwani. Similarity search in high dimensions via hashing. In VLDB, pages 518-529, 1999.
-
(1999)
VLDB
, pp. 518-529
-
-
Gionis, A.1
Indyk, P.2
Motwani, R.3
-
9
-
-
33745887620
-
Neighbourhood components analysis
-
J. Goldberger, S. T. Roweis, G. E. Hinton, and R. Salakhutdinov. Neighbourhood components analysis. In NIPS, pages 1-9, 2004.
-
(2004)
NIPS
, pp. 1-9
-
-
Goldberger, J.1
Roweis, S.T.2
Hinton, G.E.3
Salakhutdinov, R.4
-
10
-
-
84877789362
-
Iterative quantization: A procrustean approach to learning binary codes for large-scale image retrieval
-
page accepted
-
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. Pattern Anal. Mach. Intell., page accepted, 2012.
-
(2012)
IEEE Trans. Pattern Anal. Mach. Intell.
-
-
Gong, Y.1
Lazebnik, S.2
Gordo, A.3
Perronnin, F.4
-
11
-
-
84863396387
-
Domain adaptation for object recognition: An unsupervised approach
-
R. Gopalan, R. Li, and R. Chellappa. Domain adaptation for object recognition: An unsupervised approach. In ICCV, pages 999-1006, 2011.
-
(2011)
ICCV
, pp. 999-1006
-
-
Gopalan, R.1
Li, R.2
Chellappa, R.3
-
12
-
-
51949104743
-
Fast image search for learned metrics
-
P. Jain, B. Kulis, and K. Grauman. Fast image search for learned metrics. In CVPR, pages 1-8, 2008.
-
(2008)
CVPR
, pp. 1-8
-
-
Jain, P.1
Kulis, B.2
Grauman, K.3
-
13
-
-
78649317568
-
Product quantization for nearest neighbor search
-
H. Jégou, M. Douze, and C. Schmid. Product quantization for nearest neighbor search. In CVPR, pages 117-128, 2011.
-
(2011)
CVPR
, pp. 117-128
-
-
Jégou, H.1
Douze, M.2
Schmid, C.3
-
14
-
-
84858740468
-
Learning to hash with binary reconstructive embeddings
-
B. Kulis and T. Darrell. Learning to hash with binary reconstructive embeddings. In NIPS, pages 1042-1050, 2009.
-
(2009)
NIPS
, pp. 1042-1050
-
-
Kulis, B.1
Darrell, T.2
-
15
-
-
77953184849
-
Kernelized locality-sensitive hashing for scalable image search
-
B. Kulis and K. Grauman. Kernelized locality-sensitive hashing for scalable image search. In ICCV, pages 2130-2137, 2009.
-
(2009)
ICCV
, pp. 2130-2137
-
-
Kulis, B.1
Grauman, K.2
-
16
-
-
84866034209
-
Learning hash functions for cross-view similarity search
-
S. Kumar and R. Udupa. Learning hash functions for cross-view similarity search. In IJCAI, pages 1360-1365, 2011.
-
(2011)
IJCAI
, pp. 1360-1365
-
-
Kumar, S.1
Udupa, R.2
-
17
-
-
84866726818
-
Supervised hashing with kernels
-
W. Liu, J. Wang, R. Ji, Y.-G. Jiang, and S.-F. Chang. Supervised hashing with kernels. In CVPR, pages 2074-2081, 2012.
-
(2012)
CVPR
, pp. 2074-2081
-
-
Liu, W.1
Wang, J.2
Ji, R.3
Jiang, Y.-G.4
Chang, S.-F.5
-
18
-
-
80053456121
-
Hashing with graphs
-
W. Liu, J. Wang, S. Kumar, and S.-F. Chang. Hashing with graphs. In ICML, pages 1-8, 2011.
-
(2011)
ICML
, pp. 1-8
-
-
Liu, W.1
Wang, J.2
Kumar, S.3
Chang, S.-F.4
-
19
-
-
80053457714
-
Minimal loss hashing for compact binary codes
-
M. Norouzi and D. J. Fleet. Minimal loss hashing for compact binary codes. In ICML, pages 353-360, 2011.
-
(2011)
ICML
, pp. 353-360
-
-
Norouzi, M.1
Fleet, D.J.2
-
20
-
-
84866714589
-
Fast search in hamming space with multi-index hashing
-
M. Norouzi, A. Punjani, and D. J. Fleet. Fast search in hamming space with multi-index hashing. In CVPR, pages 3108-3115, 2012.
-
(2012)
CVPR
, pp. 3108-3115
-
-
Norouzi, M.1
Punjani, A.2
Fleet, D.J.3
-
21
-
-
79954525255
-
Locality-sensitive binary codes from shift-invariant kernels
-
M. Raginsky and S. Lazebnik. Locality-sensitive binary codes from shift-invariant kernels. In NIPS, pages 1509-1517, 2009.
-
(2009)
NIPS
, pp. 1509-1517
-
-
Raginsky, M.1
Lazebnik, S.2
-
22
-
-
78650967345
-
A new approach to cross-modal multimedia retrieval
-
N. Rasiwasia, J. C. Pereira, E. Coviello, and G. Doyle. A new approach to cross-modal multimedia retrieval. In ACM MM, pages 251-260, 2010.
-
(2010)
ACM MM
, pp. 251-260
-
-
Rasiwasia, N.1
Pereira, J.C.2
Coviello, E.3
Doyle, G.4
-
23
-
-
0034704222
-
Nonlinear dimensionality reduction by locally linear embedding
-
S. Roweis and L. Saul. Nonlinear dimensionality reduction by locally linear embedding. Science, 290(5500):2323-2326, 2000.
-
(2000)
Science
, vol.290
, Issue.5500
, pp. 2323-2326
-
-
Roweis, S.1
Saul, L.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. Mach. Learn. Res., 4:119-155, 2003.
-
(2003)
J. Mach. Learn. Res
, vol.4
, pp. 119-155
-
-
Saul, L.K.1
Roweis, S.T.2
-
26
-
-
84455173075
-
Multiple feature hashing for real-time large scale near-duplicate video retrieval
-
J. Song, Y. Yang, Z. Huang, H. T. Shen, and R. Hong. Multiple feature hashing for real-time large scale near-duplicate video retrieval. In ACM MM, pages 423-432, 2011.
-
(2011)
ACM MM
, pp. 423-432
-
-
Song, J.1
Yang, Y.2
Huang, Z.3
Shen, H.T.4
Hong, R.5
-
27
-
-
84880548516
-
Inter-media hashing for large-scale retrieval from heterogenous data sources
-
J. Song, Y. Yang, Y. Yang, Z. Huang, and H. T. Shen. Inter-media hashing for large-scale retrieval from heterogenous data sources. In SIGMOD, pages 785-796, 2013.
-
(2013)
SIGMOD
, pp. 785-796
-
-
Song, J.1
Yang, Y.2
Yang, Y.3
Huang, Z.4
Shen, H.T.5
-
28
-
-
81855191888
-
Ldahash: Improved matching with smaller descriptors
-
C. Strecha, A. A. Bronstein, M. M. Bronstein, and P. Fua. Ldahash: Improved matching with smaller descriptors. IEEE Trans. Pattern Anal. Mach. Intell., 34(1):66-78, 2012.
-
(2012)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.34
, Issue.1
, pp. 66-78
-
-
Strecha, C.1
Bronstein, A.A.2
Bronstein, M.M.3
Fua, P.4
-
29
-
-
51949119257
-
Small codes and large image databases for recognition
-
A. Torralba, R. Fergus, and Y. Weiss. Small codes and large image databases for recognition. In CVPR, pages 1-8, 2008.
-
(2008)
CVPR
, pp. 1-8
-
-
Torralba, A.1
Fergus, R.2
Weiss, Y.3
-
30
-
-
77955988108
-
Semi-supervised hashing for scalable image retrieval
-
J. Wang, O. Kumar, and S.-F. Chang. Semi-supervised hashing for scalable image retrieval. In CVPR, pages 3424-3431, 2010.
-
(2010)
CVPR
, pp. 3424-3431
-
-
Wang, J.1
Kumar, O.2
Chang, S.-F.3
-
31
-
-
77956496400
-
Sequential projection learning for hashing with compact codes
-
J. Wang, S. Kumar, and S.-F. Chang. Sequential projection learning for hashing with compact codes. In ICML, pages 1127-1134, 2010.
-
(2010)
ICML
, pp. 1127-1134
-
-
Wang, J.1
Kumar, S.2
Chang, S.-F.3
-
32
-
-
83855163194
-
Nonlinear dimensionality reduction by semidefinite programming and kernel matrix factorization
-
K. Q. Weinberger, B. D. Packer, and L. K. Saul. Nonlinear dimensionality reduction by semidefinite programming and kernel matrix factorization. In AISTATS, pages 381-388, 2005.
-
(2005)
AISTATS
, pp. 381-388
-
-
Weinberger, K.Q.1
Packer, B.D.2
Saul, L.K.3
-
34
-
-
84865044148
-
Semi-supervised nonlinear hashing using bootstrap sequential projection learning
-
C. Wu, J. Zhu, D. Cai, C. Chen, and J. Bu. Semi-supervised nonlinear hashing using bootstrap sequential projection learning. IEEE Trans. Knowl. Data Eng., 99:1, 2012.
-
(2012)
IEEE Trans. Knowl. Data Eng.
, vol.99
, Issue.1
-
-
Wu, C.1
Zhu, J.2
Cai, D.3
Chen, C.4
Bu, J.5
-
35
-
-
72449143147
-
Ranking with local regression and global alignment for cross media retrieval
-
Y. Yang, D. Xu, F. Nie, J. Luo, and Y. Zhuang. Ranking with local regression and global alignment for cross media retrieval. In ACM MM, pages 175-184, 2009.
-
(2009)
ACM MM
, pp. 175-184
-
-
Yang, Y.1
Xu, D.2
Nie, F.3
Luo, J.4
Zhuang, Y.5
-
36
-
-
80052110460
-
Composite hashing with multiple information sources
-
D. Zhang, F. Wang, and L. Si. Composite hashing with multiple information sources. In SIGIR, pages 225-234, 2011.
-
(2011)
SIGIR
, pp. 225-234
-
-
Zhang, D.1
Wang, F.2
Si, L.3
-
37
-
-
84877748479
-
Co-regularized hashing for multimodal data
-
Y. Zhen and D.-Y. Yeung. Co-regularized hashing for multimodal data. In NIPS, pages 2559-2567, 2012.
-
(2012)
NIPS
, pp. 2559-2567
-
-
Zhen, Y.1
Yeung, D.-Y.2
-
38
-
-
84866037322
-
A probabilistic model for multimodal hash function learning
-
Y. Zhen and D.-Y. Yeung. A probabilistic model for multimodal hash function learning. In SIGKDD, pages 940-948, 2012.
-
(2012)
SIGKDD
, pp. 940-948
-
-
Zhen, Y.1
Yeung, D.-Y.2
-
39
-
-
84878612787
-
Sparse hashing for fast multimedia search
-
X. Zhu, Z. Huang, H. Cheng, J. Cui, and H. T. Shen. Sparse hashing for fast multimedia search. ACM Trans. Inf. Syst., 31(2):509-517, 2013.
-
(2013)
ACM Trans. Inf. Syst.
, vol.31
, Issue.2
, pp. 509-517
-
-
Zhu, X.1
Huang, Z.2
Cheng, H.3
Cui, J.4
Shen, H.T.5
|