-
1
-
-
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
-
2
-
-
74049158146
-
Nus-wide: A real-world web image database from national university of singapore
-
In, Santorini, Greece., July 8-10
-
T.-S. Chua, J. Tang, R. Hong, H. Li, Z. Luo, and Y.-T. Zheng. Nus-wide: A real-world web image database from national university of singapore. In Proc. of ACM Conf. on Image and Video Retrieval (CIVR'09), Santorini, Greece., July 8-10, 2009.
-
(2009)
Proc. of ACM Conf. on Image and Video Retrieval (CIVR'09)
-
-
Chua, T.-S.1
Tang, J.2
Hong, R.3
Li, H.4
Luo, Z.5
Zheng, Y.-T.6
-
3
-
-
84877760312
-
Large scale distributed deep networks
-
J. Dean, G. Corrado, R. Monga, K. Chen, M. Devin, Q. V. Le, M. Z. Mao, M. Ranzato, A. W. Senior, P. A. Tucker, K. Yang, and A. Y. Ng. Large scale distributed deep networks. In NIPS, pages 1232-1240, 2012.
-
(2012)
NIPS
, pp. 1232-1240
-
-
Dean, J.1
Corrado, G.2
Monga, R.3
Chen, K.4
Devin, M.5
Le, Q.V.6
Mao, M.Z.7
Ranzato, M.8
Senior, A.W.9
Tucker, P.A.10
Yang, K.11
Ng, A.Y.12
-
4
-
-
84901772283
-
Saturating auto-encoder
-
CoRR, abs/1301.3577
-
R. Goroshin and Y. LeCun. Saturating auto-encoder. CoRR, abs/1301.3577, 2013.
-
(2013)
-
-
Goroshin, R.1
LeCun, Y.2
-
5
-
-
78650474133
-
A Practical Guide to Training Restricted Boltzmann Machines
-
Technical report
-
G. Hinton. A Practical Guide to Training Restricted Boltzmann Machines. Technical report, 2010.
-
(2010)
-
-
Hinton, G.1
-
6
-
-
0041664272
-
Index-driven similarity search in metric spaces
-
G. R. Hjaltason and H. Samet. Index-driven similarity search in metric spaces. ACM Trans. Database Syst., 28(4):517-580, 2003.
-
(2003)
ACM Trans. Database Syst
, vol.28
, Issue.4
, pp. 517-580
-
-
Hjaltason, G.R.1
Samet, H.2
-
8
-
-
77956002520
-
Learning multiple layers of features from tiny images
-
Technical report
-
A. Krizhevsky. Learning multiple layers of features from tiny images. Technical report, 2009.
-
(2009)
-
-
Krizhevsky, A.1
-
9
-
-
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
-
10
-
-
0001857994
-
Efficient BackProp
-
In G. Orr and K.-R. Müller, editors, chapter 2, Springer Berlin Heidelberg, Berlin, Heidelberg, Mar
-
Y. LeCun, L. Bottou, G. Orr, and K. Müller. Efficient BackProp. In G. Orr and K.-R. Müller, editors, Neural Networks: Tricks of the Trade, volume 1524 of Lecture Notes in Computer Science, chapter 2, pages 9-50. Springer Berlin Heidelberg, Berlin, Heidelberg, Mar. 1998.
-
(1998)
Neural Networks: Tricks of the Trade, volume 1524 of Lecture Notes in Computer Science
, pp. 9-50
-
-
LeCun, Y.1
Bottou, L.2
Orr, G.3
Müller, K.4
-
11
-
-
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
-
12
-
-
84883119531
-
A low rank structural large margin method for cross-modal ranking
-
X. Lu, F. Wu, S. Tang, Z. Zhang, X. He, and Y. Zhuang. A low rank structural large margin method for cross-modal ranking. In SIGIR, pages 433-442, 2013.
-
(2013)
SIGIR
, pp. 433-442
-
-
Lu, X.1
Wu, F.2
Tang, S.3
Zhang, Z.4
He, X.5
Zhuang, Y.6
-
13
-
-
84878409063
-
Recurrent neural networks for noise reduction in robust asr
-
A. L. Maas, Q. V. Le, T. M. O'Neil, O. Vinyals, P. Nguyen, and A. Y. Ng. Recurrent neural networks for noise reduction in robust asr. In INTERSPEECH, 2012.
-
(2012)
INTERSPEECH
-
-
Maas, A.L.1
Le, Q.V.2
O'Neil, T.M.3
Vinyals, O.4
Nguyen, P.5
Ng, A.Y.6
-
14
-
-
34548080780
-
Introduction to information retrieval
-
Cambridge University Press
-
C. D. Manning, P. Raghavan, and H. Schütze. Introduction to information retrieval, pages 151-175. Cambridge University Press, 2008.
-
(2008)
, pp. 151-175
-
-
Manning, C.D.1
Raghavan, P.2
Schütze, H.3
-
15
-
-
80053437179
-
Multimodal deep learning
-
J. Ngiam, A. Khosla, M. Kim, J. Nam, H. Lee, and A. Y. Ng. Multimodal deep learning. In ICML, pages 689-696, 2011.
-
(2011)
ICML
, pp. 689-696
-
-
Ngiam, J.1
Khosla, A.2
Kim, M.3
Nam, J.4
Lee, H.5
Ng, A.Y.6
-
16
-
-
78650967345
-
A new approach to cross-modal multimedia retrieval
-
N. Rasiwasia, J. C. Pereira, E. Coviello, G. Doyle, G. R. G. Lanckriet, R. Levy, and N. Vasconcelos. A new approach to cross-modal multimedia retrieval. In ACM Multimedia, pages 251-260, 2010.
-
(2010)
ACM Multimedia
, pp. 251-260
-
-
Rasiwasia, N.1
Pereira, J.C.2
Coviello, E.3
Doyle, G.4
Lanckriet, G.R.G.5
Levy, R.6
Vasconcelos, N.7
-
17
-
-
80053460450
-
Contractive auto-encoders: Explicit invariance during feature extraction
-
S. Rifai, P. Vincent, X. Muller, X. Glorot, and Y. Bengio. Contractive auto-encoders: Explicit invariance during feature extraction. In ICML, pages 833-840, 2011.
-
(2011)
ICML
, pp. 833-840
-
-
Rifai, S.1
Vincent, P.2
Muller, X.3
Glorot, X.4
Bengio, Y.5
-
19
-
-
80053261327
-
Semi-supervised recursive autoencoders for predicting sentiment distributions
-
R. Socher, J. Pennington, E. H. Huang, A. Y. Ng, and C. D. Manning. Semi-supervised recursive autoencoders for predicting sentiment distributions. In EMNLP, pages 151-161, 2011.
-
(2011)
EMNLP
, pp. 151-161
-
-
Socher, R.1
Pennington, J.2
Huang, E.H.3
Ng, A.Y.4
Manning, C.D.5
-
20
-
-
84880548516
-
Inter-media hashing for large-scale retrieval from heterogeneous data sources
-
J. Song, Y. Yang, Y. Yang, Z. Huang, and H. T. Shen. Inter-media hashing for large-scale retrieval from heterogeneous data sources. In SIGMOD Conference, pages 785-796, 2013.
-
(2013)
SIGMOD Conference
, pp. 785-796
-
-
Song, J.1
Yang, Y.2
Yang, Y.3
Huang, Z.4
Shen, H.T.5
-
21
-
-
84877724347
-
Multimodal learning with deep boltzmann machines
-
N. Srivastava and R. Salakhutdinov. Multimodal learning with deep boltzmann machines. In NIPS, pages 2231-2239, 2012.
-
(2012)
NIPS
, pp. 2231-2239
-
-
Srivastava, N.1
Salakhutdinov, R.2
-
22
-
-
56449089103
-
Extracting and composing robust features with denoising autoencoders
-
P. Vincent, H. Larochelle, Y. Bengio, and P.-A. Manzagol. Extracting and composing robust features with denoising autoencoders. In ICML, pages 1096-1103, 2008.
-
(2008)
ICML
, pp. 1096-1103
-
-
Vincent, P.1
Larochelle, H.2
Bengio, Y.3
Manzagol, P.-A.4
-
23
-
-
0012951952
-
A quantitative analysis and performance study for similarity-search methods in high-dimensional spaces
-
R. Weber, H.-J. Schek, and S. Blott. A quantitative analysis and performance study for similarity-search methods in high-dimensional spaces. In VLDB, pages 194-205, 1998.
-
(1998)
VLDB
, pp. 194-205
-
-
Weber, R.1
Schek, H.-J.2
Blott, S.3
-
25
-
-
84866037322
-
A probabilistic model for multimodal hash function learning
-
Y. Zhen and D.-Y. Yeung. A probabilistic model for multimodal hash function learning. In KDD, pages 940-948, 2012.
-
(2012)
KDD
, pp. 940-948
-
-
Zhen, Y.1
Yeung, D.-Y.2
-
26
-
-
84887418815
-
Linear cross-modal hashing for efficient multimodal search
-
X. Zhu, Z. Huang, H. T. Shen, and X. Zhao. Linear cross-modal hashing for efficient multimodal search. MM, 2013.
-
(2013)
MM
-
-
Zhu, X.1
Huang, Z.2
Shen, H.T.3
Zhao, X.4
-
27
-
-
38349155191
-
Mining semantic correlation of heterogeneous multimedia data for cross-media retrieval
-
Y. Zhuang, Y. Yang, and F. Wu. Mining semantic correlation of heterogeneous multimedia data for cross-media retrieval. IEEE Transactions on Multimedia, 10(2):221-229, 2008.
-
(2008)
IEEE Transactions on Multimedia
, vol.10
, Issue.2
, pp. 221-229
-
-
Zhuang, Y.1
Yang, Y.2
Wu, F.3
|