-
1
-
-
84965157495
-
Spectral networks and locally connected networks on graphs
-
Joan Bruna, Wojciech Zaremba, Arthur Szlam, and Yann LeCun. Spectral networks and locally connected networks on graphs. In ICLR, 2013.
-
(2013)
ICLR
-
-
Bruna, J.1
Zaremba, W.2
Szlam, A.3
LeCun, Y.4
-
2
-
-
84889587692
-
Discriminative feature selection for multi-view cross-domain learning
-
Zheng Fang and Zhongfei Mark Zhang. Discriminative feature selection for multi-view cross-domain learning. In CIKM, 2013.
-
(2013)
CIKM
-
-
Fang, Z.1
Mark Zhang, Z.2
-
3
-
-
84977613208
-
3d shape retrieval using a single depth image from low-cost sensors
-
Jie Feng, Yan Wang, and Shih-Fu Chang. 3d shape retrieval using a single depth image from low-cost sensors. In WACV, 2016.
-
(2016)
WACV
-
-
Feng, J.1
Wang, Y.2
Chang, S.3
-
4
-
-
84959230113
-
DevNet: A deep event network for multimedia event detection and evidence recounting
-
Chuang Gan, Naiyan Wang, Yi Yang, Dit-Yan Yeung, and Alex G Hauptmann. DevNet: A deep event network for multimedia event detection and evidence recounting. In CVPR, 2015.
-
(2015)
CVPR
-
-
Gan, C.1
Wang, N.2
Yang, Y.3
Yeung, D.4
Hauptmann, A.G.5
-
5
-
-
84973926806
-
-
arXiv preprint arXiv
-
Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, and Yann LeCun. Unsupervised learning of spatiotemporally coherent metrics. arXiv preprint arXiv:1412.6056, 2014.
-
(2014)
Unsupervised Learning of Spatiotemporally Coherent Metrics
, pp. 1412-6056
-
-
Goroshin, R.1
Bruna, J.2
Tompson, J.3
Eigen, D.4
LeCun, Y.5
-
7
-
-
0037365920
-
Simple-cell-like receptive fields maximize temporal coherence in natural video
-
Jarmo Hurri and Aapo Hyvärinen. Simple-cell-like receptive fields maximize temporal coherence in natural video. Neural Computation, 2003.
-
(2003)
Neural Computation
-
-
Hurri, J.1
Hyvärinen, A.2
-
8
-
-
79959766559
-
Consumer video understanding: A benchmark database and an evaluation of human and machine performance
-
Yu-Gang Jiang, Guangnan Ye, Shih-Fu Chang, Daniel Ellis, and Alexander C. Loui. Consumer video understanding: A benchmark database and an evaluation of human and machine performance. In ICMR, 2011.
-
(2011)
ICMR
-
-
Jiang, Y.1
Ye, G.2
Chang, S.3
Ellis, D.4
Loui, A.C.5
-
9
-
-
84876231242
-
Imagenet classification with deep convolutional neural networks
-
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton. Imagenet classification with deep convolutional neural networks. In NIPS, 2012.
-
(2012)
NIPS
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.E.3
-
10
-
-
80052874098
-
Learning hierarchical invariant spatiotemporal features for action recognition with independent subspace analysis
-
Quoc V Le, Will Y Zou, Serena Y Yeung, and Andrew Y Ng. Learning hierarchical invariant spatiotemporal features for action recognition with independent subspace analysis. In CVPR, 2011.
-
(2011)
CVPR
-
-
Le, Q.V.1
Zou, W.Y.2
Yeung, S.Y.3
Ng, A.Y.4
-
11
-
-
84904430289
-
Transfer learning with graph co-regularization
-
Mingsheng Long, Jianmin Wang, Guiguang Ding, Dou Shen, and Qiang Yang. Transfer learning with graph co-regularization. Knowledge and Data Engineering, IEEE Transactions on, 2014.
-
(2014)
Knowledge and Data Engineering, IEEE Transactions on
-
-
Long, M.1
Wang, J.2
Ding, G.3
Shen, D.4
Yang, Q.5
-
12
-
-
79955855934
-
Laplacian support vector machines trained in the primal
-
S. Melacci and M. Belkin. Laplacian support vector machines trained in the primal. Journal of Machine Learning Research, 12:1149-1184, 2011.
-
(2011)
Journal of Machine Learning Research
, vol.12
, pp. 1149-1184
-
-
Melacci, S.1
Belkin, M.2
-
13
-
-
71149084945
-
Deep learning from temporal coherence in video
-
H. Mobahi, R. Collobert, and J.Weston. Deep learning from temporal coherence in video. In ICML, 2009.
-
(2009)
ICML
-
-
Mobahi, H.1
Collobert, R.2
Weston, J.3
-
14
-
-
77949676020
-
Video annotation through search and graph reinforcement mining
-
Emily Moxley, Tao Mei, and Bangalore S Manjunath. Video annotation through search and graph reinforcement mining. Multimedia, IEEE Transactions on, 12(3):184-193, 2010.
-
(2010)
Multimedia, IEEE Transactions on
, vol.12
, Issue.3
, pp. 184-193
-
-
Moxley, E.1
Mei, T.2
Manjunath, B.S.3
-
15
-
-
84904538400
-
Click-through-based cross-view learning for image search
-
Yingwei Pan, Ting Yao, Tao Mei, Houqiang Li, Chong-Wah Ngo, and Yong Rui. Click-through-based cross-view learning for image search. In SIGIR, 2014.
-
(2014)
SIGIR
-
-
Pan, Y.1
Yao, T.2
Mei, T.3
Li, H.4
Ngo, C.5
Rui, Y.6
-
16
-
-
84953728660
-
Semi-supervised hashing with semantic confidence for large scale visual search
-
Yingwei Pan, Ting Yao, Houqiang Li, Chong-Wah Ngo, and Tao Mei. Semi-supervised hashing with semantic confidence for large scale visual search. In SIGIR, 2015.
-
(2015)
SIGIR
-
-
Pan, Y.1
Yao, T.2
Li, H.3
Ngo, C.4
Mei, T.5
-
17
-
-
84865661519
-
Laplacian twin support vector machine for semi-supervised classification
-
Zhiquan Qi, Yingjie Tian, and Yong Shi. Laplacian twin support vector machine for semi-supervised classification. Neural Networks, 2012.
-
(2012)
Neural Networks
-
-
Qi, Z.1
Tian, Y.2
Shi, Y.3
-
18
-
-
84973912614
-
Learning temporal embeddings for complex video analysis
-
Vignesh Ramanathan, Kevin Tang, Greg Mori, and Li Fei-Fei. Learning temporal embeddings for complex video analysis. In ICCV, 2015.
-
(2015)
ICCV
-
-
Ramanathan, V.1
Tang, K.2
Mori, G.3
Fei-Fei, L.4
-
19
-
-
84965108042
-
-
arXiv preprint arXiv 1412.6604
-
MarcAurelio Ranzato, Arthur Szlam, Joan Bruna, Michael Mathieu, Ronan Collobert, and Sumit Chopra. Video (language) modeling: a baseline for generative models of natural videos. arXiv preprint arXiv:1412.6604, 2014.
-
(2014)
Video (Language) Modeling: A Baseline for Generative Models of Natural Videos
-
-
Ranzato, M.1
Szlam, A.2
Bruna, J.3
Mathieu, M.4
Collobert, R.5
Chopra, S.6
-
20
-
-
84947041871
-
Imagenet large scale visual recognition challenge
-
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, et al. Imagenet large scale visual recognition challenge. IJCV, 2014.
-
(2014)
IJCV
-
-
Russakovsky, O.1
Deng, J.2
Su, H.3
Krause, J.4
Satheesh, S.5
Ma, S.6
Huang, Z.7
Karpathy, A.8
Khosla, A.9
Bernstein, M.10
-
21
-
-
84969544782
-
Unsupervised learning of video representations using LSTMs
-
Nitish Srivastava, Elman Mansimov, and Ruslan Salakhutdinov. Unsupervised learning of video representations using LSTMs. In ICML, 2015.
-
(2015)
ICML
-
-
Srivastava, N.1
Mansimov, E.2
Salakhutdinov, R.3
-
22
-
-
84959216176
-
Ranking domain-specific highlights by analyzing edited videos
-
Min Sun, Ali Farhadi, and Steve Seitz. Ranking domain-specific highlights by analyzing edited videos. In ECCV, 2014.
-
(2014)
ECCV
-
-
Sun, M.1
Farhadi, A.2
Seitz, S.3
-
23
-
-
0034704229
-
A global geometric framework for nonlinear dimensionality reduction
-
Joshua B Tenenbaum, Vin De Silva, and John C Langford. A global geometric framework for nonlinear dimensionality reduction. Science, 2000.
-
(2000)
Science
-
-
Tenenbaum, J.B.1
De Silva, V.2
Langford, J.C.3
-
24
-
-
84911376543
-
Learning fine-grained image similarity with deep ranking
-
Jiang Wang, Yang Song, Tommy Leung, Catherine Rosenberg, Jingbin Wang, James Philbin, Bo Chen, and Ying Wu. Learning fine-grained image similarity with deep ranking. In CVPR, 2014.
-
(2014)
CVPR
-
-
Wang, J.1
Song, Y.2
Leung, T.3
Rosenberg, C.4
Wang, J.5
Philbin, J.6
Chen, B.7
Wu, Y.8
-
25
-
-
0036546660
-
Slow feature analysis: Unsupervised learning of invariances
-
Laurenz Wiskott and Terrence J. Sejnowski. Slow feature analysis: Unsupervised learning of invariances. Neural Computation, 2002.
-
(2002)
Neural Computation
-
-
Wiskott, L.1
Sejnowski, T.J.2
-
26
-
-
33947194180
-
Graph embedding and extensions: A general framework for dimensionality reduction
-
Shuicheng Yan, Dong Xu, Benyu Zhang, Hong-Jiang Zhang, Qiang Yang, and Stephen Lin. Graph embedding and extensions: a general framework for dimensionality reduction. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2007.
-
(2007)
Pattern Analysis and Machine Intelligence, IEEE Transactions on
-
-
Yan, S.1
Xu, D.2
Zhang, B.3
Zhang, H.4
Yang, Q.5
Lin, S.6
-
27
-
-
84986246211
-
Exploiting image-trained CNN architectures for unconstrained video classification
-
Shengxin Zha, Florian Luisier, Walter Andrews, Nitish Srivastava, and Ruslan Salakhutdinov. Exploiting image-trained CNN architectures for unconstrained video classification. In BMVC, 2015.
-
(2015)
BMVC
-
-
Zha, S.1
Luisier, F.2
Andrews, W.3
Srivastava, N.4
Salakhutdinov, R.5
|