-
2
-
-
27844439373
-
A framework for learning predictive structures from multiple tasks and unlabeled data
-
R. K. Ando and T. Zhang. A framework for learning predictive structures from multiple tasks and unlabeled data. JMLR, 6:1817-1853, 2005
-
(2005)
JMLR
, vol.6
, pp. 1817-1853
-
-
Ando, R.K.1
Zhang, T.2
-
3
-
-
84856675275
-
Tabula rasa: Model transfer for object category detection
-
Y. Aytar and A. Zisserman. Tabula rasa: Model transfer for object category detection. In ICCV, 2011
-
(2011)
ICCV
-
-
Aytar, Y.1
Zisserman, A.2
-
4
-
-
84898484392
-
Enhancing exemplar svms using part level transfer regularization
-
Y. Aytar and A. Zisserman. Enhancing exemplar svms using part level transfer regularization. In BMVC, 2012
-
(2012)
BMVC
-
-
Aytar, Y.1
Zisserman, A.2
-
7
-
-
84887366030
-
Adding unlabeled samples to categories by learned attributes
-
J. Choi, M. Rastegari, A. Farhadi, and L. S. Davis. Adding unlabeled samples to categories by learned attributes. In CVPR, 2013
-
(2013)
CVPR
-
-
Choi, J.1
Rastegari, M.2
Farhadi, A.3
Davis, L.S.4
-
8
-
-
77956006912
-
Exploiting hierarchical context on a large database of object categories
-
M. J. Choi, J. J. Lim, A. Torralba, and A. S. Willsky. Exploiting hierarchical context on a large database of object categories. In CVPR, 2010
-
(2010)
CVPR
-
-
Choi, M.J.1
Lim, J.J.2
Torralba, A.3
Willsky, A.S.4
-
9
-
-
84887353231
-
Contextual object detection using set-based classification
-
R. G. Cinbis and S. Sclaroff. Contextual object detection using set-based classification. In ECCV, 2012
-
(2012)
ECCV
-
-
Cinbis, R.G.1
Sclaroff, S.2
-
10
-
-
84898774288
-
Segmentation driven object detection with fisher vectors
-
R. G. Cinbis, J. Verbeek, and C. Schmid. Segmentation driven object detection with fisher vectors. In ICCV, 2013
-
(2013)
ICCV
-
-
Cinbis, R.G.1
Verbeek, J.2
Schmid, C.3
-
11
-
-
84898771670
-
Ensemble projection for semisupervised image classification
-
D. Dai and L. V. Gool. Ensemble projection for semisupervised image classification. In ICCV, 2013
-
(2013)
ICCV
-
-
Dai, D.1
Gool, L.V.2
-
12
-
-
84898936638
-
Mid-level visual element discovery as discriminative mode seeking
-
C. Doersch, A. Gupta, and A. A. Efros. Mid-level visual element discovery as discriminative mode seeking. In NIPS, 2013
-
(2013)
NIPS
-
-
Doersch, C.1
Gupta, A.2
Efros, A.A.3
-
13
-
-
77951298115
-
The PASCAL Visual Object Classes (VOC) Challenge
-
M. Everingham, L. Van Gool, C. K. Williams, J. Winn, and A. Zisserman. The PASCAL Visual Object Classes (VOC) Challenge. IJCV, 88(2):303-338, 2010
-
(2010)
IJCV
, vol.88
, Issue.2
, pp. 303-338
-
-
Everingham, M.1
Van Gool, L.2
Williams, C.K.3
Winn, J.4
Zisserman, A.5
-
14
-
-
77955422240
-
Object detection with discriminatively trained partbased models
-
P. F. Felzenszwalb, R. B. Girshick, D. McAllester, and D. Ramanan. Object detection with discriminatively trained partbased models. TPAMI, 32(9):1627-1645, 2010
-
(2010)
TPAMI
, vol.32
, Issue.9
, pp. 1627-1645
-
-
Felzenszwalb, P.F.1
Girshick, R.B.2
McAllester, D.3
Ramanan, D.4
-
15
-
-
84911400494
-
Rich feature hierarchies for accurate object detection and semantic segmentation
-
R. Girshick, J. Donahue, T. Darrell, and J. Malik. Rich feature hierarchies for accurate object detection and semantic segmentation. In CVPR, 2014
-
(2014)
CVPR
-
-
Girshick, R.1
Donahue, J.2
Darrell, T.3
Malik, J.4
-
16
-
-
84887395819
-
Discriminative decorrelation for clustering and classification
-
B. Hariharan, J. Malik, and D. Ramanan. Discriminative decorrelation for clustering and classification. In ECCV, 2012
-
(2012)
ECCV
-
-
Hariharan, B.1
Malik, J.2
Ramanan, D.3
-
17
-
-
84891864026
-
Forceatlas2, a continuous graph layout algorithm for handy network visualization
-
M. Jacomy, S. Heymann, T. Venturini, and M. Bastian. Forceatlas2, a continuous graph layout algorithm for handy network visualization. Medialab center of research, 560, 2011
-
(2011)
Medialab Center of Research
, vol.560
-
-
Jacomy, M.1
Heymann, S.2
Venturini, T.3
Bastian, M.4
-
18
-
-
85009867858
-
Caffe: Convolutional architecture for fast feature embedding
-
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell. Caffe: Convolutional architecture for fast feature embedding. In ACM MM, 2014
-
(2014)
ACM MM
-
-
Jia, Y.1
Shelhamer, E.2
Donahue, J.3
Karayev, S.4
Long, J.5
Girshick, R.6
Guadarrama, S.7
Darrell, T.8
-
19
-
-
0000262562
-
Hierarchical mixtures of experts and the em algorithm
-
M. I. Jordan and R. A. Jacobs. Hierarchical mixtures of experts and the EM algorithm. Neural computation, 6(2):181-214, 1994
-
(1994)
Neural Computation
, vol.6
, Issue.2
, pp. 181-214
-
-
Jordan, M.I.1
Jacobs, R.A.2
-
20
-
-
84887325186
-
Blocks that shout: Distinctive parts for scene classification
-
M. Juneja, A. Vedaldi, C. Jawahar, and A. Zisserman. Blocks that shout: Distinctive parts for scene classification. In CVPR, 2013
-
(2013)
CVPR
-
-
Juneja, M.1
Vedaldi, A.2
Jawahar, C.3
Zisserman, A.4
-
24
-
-
77955644905
-
Factor in the neighbors: Scalable and accurate collaborative filtering
-
Y. Koren. Factor in the neighbors: Scalable and accurate collaborative filtering. TKDD, 4(1):1-24, 2010
-
(2010)
TKDD
, vol.4
, Issue.1
, pp. 1-24
-
-
Koren, Y.1
-
25
-
-
85008044987
-
Matrix factorization techniques for recommender systems
-
Y. Koren, R. Bell, and C. Volinsky. Matrix factorization techniques for recommender systems. IEEE Computer, 42(8):30-37, 2009
-
(2009)
IEEE Computer
, vol.42
, Issue.8
, pp. 30-37
-
-
Koren, Y.1
Bell, R.2
Volinsky, C.3
-
26
-
-
84876231242
-
Imagenet classification with deep convolutional neural networks
-
A. Krizhevsky, I. Sutskever, and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In NIPS, 2012
-
(2012)
NIPS
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.E.3
-
27
-
-
84897555831
-
Stability and hypothesis transfer learning
-
I. Kuzborskij and F. Orabona. Stability and hypothesis transfer learning. In ICML, 2013
-
(2013)
ICML
-
-
Kuzborskij, I.1
Orabona, F.2
-
28
-
-
0001093042
-
Algorithms for non-negative matrix factorization
-
D. D. Lee and H. S. Seung. Algorithms for non-negative matrix factorization. In NIPS, 2000
-
(2000)
NIPS
-
-
Lee, D.D.1
Seung, H.S.2
-
29
-
-
85162513516
-
Object bank: A highlevel image representation for scene classification & semantic feature sparsification
-
L.-J. Li, H. Su, E. P. Xing, and F.-F. Li. Object bank: A highlevel image representation for scene classification & semantic feature sparsification. In NIPS, 2010
-
(2010)
NIPS
-
-
Li, L.-J.1
Su, H.2
Xing, E.P.3
Li, F.-F.4
-
30
-
-
85162555049
-
Transfer learning by borrowing examples for multiclass object detection
-
J. J. Lim, R. Salakhutdinov, and A. Torralba. Transfer learning by borrowing examples for multiclass object detection. In NIPS, 2011
-
(2011)
NIPS
-
-
Lim, J.J.1
Salakhutdinov, R.2
Torralba, A.3
-
31
-
-
85007196229
-
Self-explanatory sparse representation for image classification
-
B.-D. Liu, Y.-X. Wang, B. Shen, Y.-J. Zhang, and M. Hebert. Self-explanatory sparse representation for image classification. In ECCV, 2014
-
(2014)
ECCV
-
-
Liu, B.-D.1
Wang, Y.-X.2
Shen, B.3
Zhang, Y.-J.4
Hebert, M.5
-
32
-
-
84875278020
-
Learning dictionary on manifolds for image classification
-
B.-D. Liu, Y.-X. Wang, Y.-J. Zhang, and B. Shen. Learning dictionary on manifolds for image classification. PR, 46(7):1879-1890, 2013
-
(2013)
PR
, vol.46
, Issue.7
, pp. 1879-1890
-
-
Liu, B.-D.1
Wang, Y.-X.2
Zhang, Y.-J.3
Shen, B.4
-
33
-
-
84863411575
-
Ensemble of exemplar-svms for object detection and beyond
-
T. Malisiewicz, A. Gupta, and A. A. Efros. Ensemble of exemplar-svms for object detection and beyond. In ICCV, 2011
-
(2011)
ICCV
-
-
Malisiewicz, T.1
Gupta, A.2
Efros, A.A.3
-
37
-
-
84959201998
-
Watch and learn: Semi-supervised learning of object detectors from videos
-
I. Misra, A. Shrivastava, and M. Hebert. Watch and learn: Semi-supervised learning of object detectors from videos. In CVPR, 2015
-
(2015)
CVPR
-
-
Misra, I.1
Shrivastava, A.2
Hebert, M.3
-
38
-
-
33747626730
-
Large-scale concept ontology for multimedia
-
M. Naphade, J. R. Smith, J. Tesic, S.-F. Chang, W. Hsu, L. Kennedy, A. Hauptmann, and J. Curtis. Large-scale concept ontology for multimedia. IEEE MultiMedia, 13(3):86-91, 2006
-
(2006)
IEEE MultiMedia
, vol.13
, Issue.3
, pp. 86-91
-
-
Naphade, M.1
Smith, J.R.2
Tesic, J.3
Chang, S.-F.4
Hsu, W.5
Kennedy, L.6
Hauptmann, A.7
Curtis, J.8
-
40
-
-
77956031473
-
A survey on transfer learning
-
S. J. Pan and Q. Yang. A survey on transfer learning. TKDE, 22(10):1345-1359, 2010
-
(2010)
TKDE
, vol.22
, Issue.10
, pp. 1345-1359
-
-
Pan, S.J.1
Yang, Q.2
-
42
-
-
0003243224
-
Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods
-
J. C. Platt. Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods. In Advances in large margin classifiers, 1999
-
(1999)
Advances in Large Margin Classifiers
-
-
Platt, J.C.1
-
43
-
-
51949094374
-
Transfer learning for image classification with sparse prototype representations
-
A. Quattoni, M. Collins, and T. Darrell. Transfer learning for image classification with sparse prototype representations. In CVPR, 2008
-
(2008)
CVPR
-
-
Quattoni, A.1
Collins, M.2
Darrell, T.3
-
44
-
-
84887356933
-
Attribute discovery via predictable discriminative binary codes
-
M. Rastegari, A. Farhadi, and D. Forsyth. Attribute discovery via predictable discriminative binary codes. In ECCV, 2012
-
(2012)
ECCV
-
-
Rastegari, M.1
Farhadi, A.2
Forsyth, D.3
-
45
-
-
84897551647
-
Learning policies for contextual submodular prediction
-
S. Ross, J. Zhou, Y. Yue, D. Dey, and J. A. Bagnell. Learning policies for contextual submodular prediction. In ICML, 2013
-
(2013)
ICML
-
-
Ross, S.1
Zhou, J.2
Yue, Y.3
Dey, D.4
Bagnell, J.A.5
-
46
-
-
84909978410
-
-
arXiv:1409. 0575
-
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. C. Berg, and L. Fei-Fei. ImageNet Large Scale Visual Recognition Challenge. arXiv:1409. 0575, 2014
-
(2014)
ImageNet Large Scale Visual Recognition Challenge
-
-
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
Berg, A.C.11
Fei-Fei, L.12
-
47
-
-
36849095780
-
Restricted boltzmann machines for collaborative filtering
-
R. Salakhutdinov, A. Mnih, and G. Hinton. Restricted boltzmann machines for collaborative filtering. In ICML, 2007
-
(2007)
ICML
-
-
Salakhutdinov, R.1
Mnih, A.2
Hinton, G.3
-
48
-
-
84937522268
-
Going deeper with convolutions
-
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich. Going deeper with convolutions. In CVPR, 2015
-
(2015)
CVPR
-
-
Szegedy, C.1
Liu, W.2
Jia, Y.3
Sermanet, P.4
Reed, S.5
Anguelov, D.6
Erhan, D.7
Vanhoucke, V.8
Rabinovich, A.9
-
49
-
-
84900528296
-
Learning categories from few examples with multi model knowledge transfer
-
T. Tommasi, F. Orabona, and B. Caputo. Learning categories from few examples with multi model knowledge transfer. TPAMI, 36(5):928-941, 2014
-
(2014)
TPAMI
, vol.36
, Issue.5
, pp. 928-941
-
-
Tommasi, T.1
Orabona, F.2
Caputo, B.3
-
50
-
-
80052896768
-
Efficient object category recognition using classemes
-
L. Torresani, M. Szummer, and A. Fitzgibbon. Efficient object category recognition using classemes. In ECCV, 2010
-
(2010)
ECCV
-
-
Torresani, L.1
Szummer, M.2
Fitzgibbon, A.3
-
52
-
-
84881160857
-
Selective search for object recognition
-
J. Uijlings, K. van de Sande, T. Gevers, and A. Smeulders. Selective search for object recognition. IJCV, 104(2):154-171, 2013
-
(2013)
IJCV
, vol.104
, Issue.2
, pp. 154-171
-
-
Uijlings, J.1
Sande De K.Van2
Gevers, T.3
Smeulders, A.4
-
53
-
-
84897584251
-
Nonnegative matrix factorization: A comprehensive review
-
Y.-X. Wang and Y.-J. Zhang. Nonnegative matrix factorization: A comprehensive review. TKDE, 25(6):1336-1353, 2013
-
(2013)
TKDE
, vol.25
, Issue.6
, pp. 1336-1353
-
-
Wang, Y.-X.1
Zhang, Y.-J.2
-
54
-
-
48349104603
-
Maximum margin matrix factorization for collaborative ranking
-
M. Weimer, A. Karatzoglou, Q. V. Le, and A. Smola. Maximum margin matrix factorization for collaborative ranking. In NIPS, 2007
-
(2007)
NIPS
-
-
Weimer, M.1
Karatzoglou, A.2
Le, Q.V.3
Smola, A.4
-
55
-
-
48249137439
-
Collaborative filtering via ensembles of matrix factorizations
-
M. Wu. Collaborative filtering via ensembles of matrix factorizations. In Proceedings of KDD Cup and Workshop, 2007
-
(2007)
Proceedings of KDD Cup and Workshop
-
-
Wu, M.1
-
56
-
-
84925433400
-
Efficient model evaluation with bilinear separation model
-
F. Xiao and M. Hebert. Efficient model evaluation with bilinear separation model. In WACV, 2015
-
(2015)
WACV
-
-
Xiao, F.1
Hebert, M.2
-
57
-
-
84866665892
-
A codebook-free and annotation-free approach for fine-grained image categorization
-
B. Yao, G. Bradski, and L. Fei-Fei. A codebook-free and annotation-free approach for fine-grained image categorization. In CVPR, 2012
-
(2012)
CVPR
-
-
Yao, B.1
Bradski, G.2
Fei-Fei, L.3
|