-
1
-
-
84906331113
-
Cross-age reference coding for age-invariant face recognition and retrieval
-
B.-C. Chen, C.-S. Chen, and W. H. Hsu, "Cross-age reference coding for age-invariant face recognition and retrieval, " in Proc. ECCV, 2014, pp. 768-783.
-
(2014)
Proc. ECCV
, pp. 768-783
-
-
Chen, B.-C.1
Chen, C.-S.2
Hsu, W.H.3
-
2
-
-
34948904828
-
-
California Inst. Technol., Pasadena, CA, USA, Tech. Rep. 7694
-
G. Griffin, A. Holub, and P. Perona, "Caltech-256 object category dataset, " California Inst. Technol., Pasadena, CA, USA, Tech. Rep. 7694, 2007.
-
(2007)
Caltech-256 Object Category Dataset
-
-
Griffin, G.1
Holub, A.2
Perona, P.3
-
3
-
-
84921031076
-
A novel active learning method in relevance feedback for content-based remote sensing image retrieval
-
May
-
B. Demir and L. Bruzzone, "A novel active learning method in relevance feedback for content-based remote sensing image retrieval, " IEEE Trans. Geosci. Remote Sens., vol. 53, no. 5, pp. 2323-2334, May 2015.
-
(2015)
IEEE Trans. Geosci. Remote Sens.
, vol.53
, Issue.5
, pp. 2323-2334
-
-
Demir, B.1
Bruzzone, L.2
-
4
-
-
85040947035
-
Incorporating diversity in active learning with support vector machines
-
K. Brinker, "Incorporating diversity in active learning with support vector machines, " in Proc. ICML, 2003, pp. 1-8.
-
(2003)
Proc. ICML
, pp. 1-8
-
-
Brinker, K.1
-
5
-
-
84926620175
-
Active learning for ranking through expected loss optimization
-
May
-
B. Long, J. Bian, O. Chapelle, Y. Zhang, Y. Inagaki, and Y. Chang, "Active learning for ranking through expected loss optimization, " IEEE Trans. Knowl. Data Eng., vol. 27, no. 5, pp. 1180-1191, May 2015.
-
(2015)
IEEE Trans. Knowl. Data Eng.
, vol.27
, Issue.5
, pp. 1180-1191
-
-
Long, B.1
Bian, J.2
Chapelle, O.3
Zhang, Y.4
Inagaki, Y.5
Chang, Y.6
-
6
-
-
70450181250
-
Multi-class active learning for image classification
-
Jun.
-
A. J. Joshi, F. Porikli, and N. Papanikolopoulos, "Multi-class active learning for image classification, " in Proc. CVPR, Jun. 2009, pp. 2372-2379.
-
(2009)
Proc. CVPR
, pp. 2372-2379
-
-
Joshi, A.J.1
Porikli, F.2
Papanikolopoulos, N.3
-
7
-
-
50649102302
-
Active learning with Gaussian processes for object categorization
-
Oct.
-
A. Kapoor, K. Grauman, R. Urtasun, and T. Darrell, "Active learning with Gaussian processes for object categorization, " in Proc. ICCV, Oct. 2007, pp. 1-8.
-
(2007)
Proc. ICCV
, pp. 1-8
-
-
Kapoor, A.1
Grauman, K.2
Urtasun, R.3
Darrell, T.4
-
8
-
-
84860189970
-
Which faces to tag: Adding prior constraints into active learning
-
A. Kapoor, G. Hua, A. Akbarzadeh, and S. Baker, "Which faces to tag: Adding prior constraints into active learning, " in Proc. ICCV, Sep./Oct. 2009, pp. 1058-1065.
-
(2009)
Proc. ICCV, Sep./Oct.
, pp. 1058-1065
-
-
Kapoor, A.1
Hua, G.2
Akbarzadeh, A.3
Baker, S.4
-
9
-
-
43749112531
-
Minimax bounds for active learning
-
May
-
R. M. Castro and R. D. Nowak, "Minimax bounds for active learning, " IEEE Trans. Inf. Theory, vol. 54, no. 5, pp. 2339-2353, May 2008.
-
(2008)
IEEE Trans. Inf. Theory
, vol.54
, Issue.5
, pp. 2339-2353
-
-
Castro, R.M.1
Nowak, R.D.2
-
10
-
-
84887354642
-
Adaptive active learning for image classification
-
Jun.
-
X. Li and Y. Guo, "Adaptive active learning for image classification, " in Proc. CVPR, Jun. 2013, pp. 859-866.
-
(2013)
Proc. CVPR
, pp. 859-866
-
-
Li, X.1
Guo, Y.2
-
11
-
-
84898808985
-
A convex optimization framework for active learning
-
Dec.
-
E. Elhamifar, G. Sapiro, A. Yang, and S. S. Sasrty, "A convex optimization framework for active learning, " in Proc. Int. Conf. Comput. Vis. (ICCV), Dec. 2013, pp. 209-216.
-
(2013)
Proc. Int. Conf. Comput. Vis. (ICCV)
, pp. 209-216
-
-
Elhamifar, E.1
Sapiro, G.2
Yang, A.3
Sasrty, S.S.4
-
12
-
-
84976725310
-
A sequential algorithm for training text classifiers: Corrigendum and additional data
-
D. D. Lewis, "A sequential algorithm for training text classifiers: Corrigendum and additional data, " ACM SIGIR Forum, vol. 29, no. 2, pp. 13-19, 1995.
-
(1995)
ACM SIGIR Forum
, vol.29
, Issue.2
, pp. 13-19
-
-
Lewis, D.D.1
-
13
-
-
84906337325
-
Multi-level adaptive active learning for scene classification
-
X. Li and Y Guo, "Multi-level adaptive active learning for scene classification, " in Proc. ECCV, 2014, pp. 234-249.
-
(2014)
Proc. ECCV
, pp. 234-249
-
-
Li, X.1
Guo, Y.2
-
14
-
-
84897712481
-
Multilabel image classification via high-order label correlation driven active learning
-
Mar.
-
B. Zhang, Y Wang, and F. Chen, "Multilabel image classification via high-order label correlation driven active learning, " IEEE Trans. Image Process., vol. 23, no. 3, pp. 1430-1441, Mar. 2014.
-
(2014)
IEEE Trans. Image Process.
, vol.23
, Issue.3
, pp. 1430-1441
-
-
Zhang, B.1
Wang, Y.2
Chen, F.3
-
15
-
-
84927783752
-
Robust multi-label image classification with semi-supervised learning and active learning
-
F. Sun, M. Xu, and X. Jiang, "Robust multi-label image classification with semi-supervised learning and active learning, " in Proc. 21st Int. Conf. MultiMedia Modeling, 2015, pp. 512-523.
-
(2015)
Proc. 21st Int. Conf. MultiMedia Modeling
, pp. 512-523
-
-
Sun, F.1
Xu, M.2
Jiang, X.3
-
16
-
-
34250745927
-
Batch mode active learning and its application to medical image classification
-
S. C. H. Hoi, R. Jin, J. Zhu, and M. R. Lyu, "Batch mode active learning and its application to medical image classification, " in Proc. ICML, 2006, pp. 417-424.
-
(2006)
Proc. ICML
, pp. 417-424
-
-
Hoi, S.C.H.1
Jin, R.2
Zhu, J.3
Lyu, M.R.4
-
17
-
-
77952583758
-
Correction to 'active learning methods for remote sensing image classification'
-
Jun.
-
D. Tuia, F. Ratle, F. Pacifici, M. F. Kanevski, and W J. Emery, "Correction to 'active learning methods for remote sensing image classification, "' IEEE Trans. Geosci. Remote Sens., vol. 48, no. 6, p. 2767, Jun. 2010.
-
(2010)
IEEE Trans. Geosci. Remote Sens.
, vol.48
, Issue.6
, pp. 2767
-
-
Tuia, D.1
Ratle, F.2
Pacifici, F.3
Kanevski, M.F.4
Emery, W.J.5
-
18
-
-
0042868698
-
Support vector machine active learning with applications to text classification
-
Mar.
-
S. Tong and D. Koller, "Support vector machine active learning with applications to text classification, " J. Mach. Learn. Res., vol. 2, pp. 45-66, Mar. 2001.
-
(2001)
J. Mach. Learn. Res.
, vol.2
, pp. 45-66
-
-
Tong, S.1
Koller, D.2
-
19
-
-
0000314722
-
Employing em and pool-based active learning for text classification
-
A. McCallum and K. Nigam, "Employing EM and pool-based active learning for text classification, " in Proc. ICML, 1998, pp. 350-358.
-
(1998)
Proc. ICML
, pp. 350-358
-
-
McCallum, A.1
Nigam, K.2
-
20
-
-
0007696417
-
Less is more: Active learning with support vector machines
-
G. Schohn and D. Cohn, "Less is more: Active learning with support vector machines, " in Proc. ICML, 2000, pp. 1-8.
-
(2000)
Proc. ICML
, pp. 1-8
-
-
Schohn, G.1
Cohn, D.2
-
21
-
-
80052905596
-
Large-scale live active learning: Training object detectors with crawled data and crowds
-
Jun.
-
S. Vijayanarasimhan and K. Grauman, "Large-scale live active learning: Training object detectors with crawled data and crowds, " in Proc. CVPR, Jun. 2011, pp. 1449-1456.
-
(2011)
Proc. CVPR
, pp. 1449-1456
-
-
Vijayanarasimhan, S.1
Grauman, K.2
-
22
-
-
34547147328
-
Extreme video retrieval: Joint maximization of human and computer performance
-
A. G. Hauptmann, W.-H. Lin, R. Yan, J. Yang, and M.-Y Chen, "Extreme video retrieval: Joint maximization of human and computer performance, " in Proc. 14th ACM Int. Conf. Multimedia, 2006, pp. 385-394.
-
(2006)
Proc. 14th ACM Int. Conf. Multimedia
, pp. 385-394
-
-
Hauptmann, A.G.1
Lin, W.-H.2
Yan, R.3
Yang, J.4
Chen, M.-Y.5
-
23
-
-
84876231242
-
ImageNet classification with deep convolutional neural networks
-
A. Krizhevsky, I. Sutskever, and G. E. Hinton, "ImageNet classification with deep convolutional neural networks, " in Proc. NIPS, 2012, pp. 1097-1105.
-
(2012)
Proc. NIPS
, pp. 1097-1105
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.E.3
-
24
-
-
84866714584
-
Multi-column deep neural networks for image classification
-
Jun.
-
D. Cireşan, U. Meier, and J. Schmidhuber, "Multi-column deep neural networks for image classification, " in Proc. CVPR, Jun. 2012, pp. 3642-3649.
-
(2012)
Proc. CVPR
, pp. 3642-3649
-
-
Cireşan, D.1
Meier, U.2
Schmidhuber, J.3
-
25
-
-
72249100259
-
ImageNet: A large-scale hierarchical image database
-
Jun.
-
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei, "ImageNet: A large-scale hierarchical image database, " in Proc. CVPR, Jun. 2009, pp. 248-255.
-
(2009)
Proc. CVPR
, pp. 248-255
-
-
Deng, J.1
Dong, W.2
Socher, R.3
Li, L.-J.4
Li, K.5
Fei-Fei, L.6
-
26
-
-
85083953063
-
Very deep convolutional networks for large-scale image recognition
-
K. Simonyan and A. Zisserman, "Very deep convolutional networks for large-scale image recognition, " in Proc. ICLR, 2015, pp. 1-14.
-
(2015)
Proc. ICLR
, pp. 1-14
-
-
Simonyan, K.1
Zisserman, A.2
-
27
-
-
84973084795
-
Self-paced curriculum learning
-
L. Jiang, D. Meng, Q. Zhao, S. Shan, and A. G. Hauptmann, "Self-paced curriculum learning, " in Proc. AAAI, 2015, pp. 1-7.
-
(2015)
Proc. AAAI
, pp. 1-7
-
-
Jiang, L.1
Meng, D.2
Zhao, Q.3
Shan, S.4
Hauptmann, A.G.5
-
28
-
-
84960086094
-
Self-paced learning for matrix factorization
-
Q. Zhao, D. Meng, L. Jiang, Q. Xie, Z. Xu, and A. G. Hauptmann, "Self-paced learning for matrix factorization, " in Proc. AAAI, 2015, pp. 3196-3202.
-
(2015)
Proc. AAAI
, pp. 3196-3202
-
-
Zhao, Q.1
Meng, D.2
Jiang, L.3
Xie, Q.4
Xu, Z.5
Hauptmann, A.G.6
-
29
-
-
84913585680
-
Easy samples first: Self-paced reranking for zero-example multimedia search
-
L. Jiang, D. Meng, T. Mitamura, and A. G Hauptmann, "Easy samples first: Self-paced reranking for zero-example multimedia search, " in Proc. 22nd ACM Int. Conf. Multimedia, 2014, pp. 547-556.
-
(2014)
Proc. 22nd ACM Int. Conf. Multimedia
, pp. 547-556
-
-
Jiang, L.1
Meng, D.2
Mitamura, T.3
Hauptmann, A.G.4
-
30
-
-
84937895884
-
Self-paced learning with diversity
-
L. Jiang, D. Meng, S.-I. Yu, Z. Lan, S. Shan, and A. G. Hauptmann, "Self-paced learning with diversity, " in Proc. NIPS, 2014, pp. 2078-2086.
-
(2014)
Proc. NIPS
, pp. 2078-2086
-
-
Jiang, L.1
Meng, D.2
Yu, S.-I.3
Lan, Z.4
Shan, S.5
Hauptmann, A.G.6
-
31
-
-
68949137209
-
-
Comput. Sci. Dept., Univ. Wisconsin-Madison, Madison, WI, USA, Tech. Rep. 1648
-
B. Settles, "Active learning literature survey, " Comput. Sci. Dept., Univ. Wisconsin-Madison, Madison, WI, USA, Tech. Rep. 1648, 2009.
-
(2009)
Active Learning Literature Survey
-
-
Settles, B.1
-
32
-
-
84958546669
-
Active hidden Markov models for information extraction
-
T. Scheffer, C. Decomain, and S. Wrobel, "Active hidden Markov models for information extraction, " in Proc. IDA, 2001, pp. 309-318.
-
(2001)
Proc. IDA
, pp. 309-318
-
-
Scheffer, T.1
Decomain, C.2
Wrobel, S.3
-
33
-
-
0002947255
-
A mathematical theory of communication
-
C. E. Shannon, "A mathematical theory of communication, " ACM SIGMOBILE Mobile Comput. Commun. Rev., vol. 5, no. 1, pp. 3-55, 2001.
-
(2001)
ACM SIGMOBILE Mobile Comput. Commun. Rev.
, vol.5
, Issue.1
, pp. 3-55
-
-
Shannon, C.E.1
-
34
-
-
85161967298
-
Self-paced learning for latent variable models
-
M. P. Kumar, B. Packer, and D. Koller, "Self-paced learning for latent variable models, " in Proc. NIPS, 2010, pp. 1189-1197.
-
(2010)
Proc. NIPS
, pp. 1189-1197
-
-
Kumar, M.P.1
Packer, B.2
Koller, D.3
-
35
-
-
71149116544
-
Curriculum learning
-
Y. Bengio, J. Louradour, R. Collobert, and J. Weston, "Curriculum learning, " in Proc. ICML, 2009, pp. 41-48.
-
(2009)
Proc. ICML
, pp. 41-48
-
-
Bengio, Y.1
Louradour, J.2
Collobert, R.3
Weston, J.4
-
36
-
-
0031209604
-
Selective sampling using the query by committee algorithm
-
Y Freund, H. S. Seung, E. Shamir, and N. Tishby, "Selective sampling using the query by committee algorithm, " Mach. Learn., vol. 28, no. 2, pp. 133-168, 1997.
-
(1997)
Mach. Learn.
, vol.28
, Issue.2
, pp. 133-168
-
-
Freund, Y.1
Seung, H.S.2
Shamir, E.3
Tishby, N.4
-
37
-
-
84866702739
-
Scalable active learning for multiclass image classification
-
Nov.
-
A. J. Joshi, F. Porikli, and N. R Papanikolopoulos, "Scalable active learning for multiclass image classification, " IEEE Trans. Pattern Anal. Mach. Intell, vol. 34, no. 11, pp. 2259-2273, Nov. 2012.
-
(2012)
IEEE Trans. Pattern Anal. Mach. Intell
, vol.34
, Issue.11
, pp. 2259-2273
-
-
Joshi, A.J.1
Porikli, F.2
Papanikolopoulos, N.R.3
-
38
-
-
84887383859
-
Supervised descent method and its applications to face alignment
-
Jun.
-
X. Xiong and F De la Torre, "Supervised descent method and its applications to face alignment, " in Proc. CVPR, Jun. 2013, pp. 532-539.
-
(2013)
Proc. CVPR
, pp. 532-539
-
-
Xiong, X.1
De La Torre, F.2
-
39
-
-
84990059834
-
Rectified linear units improve restricted Boltzmann machines
-
V. Nair and G. E. Hinton, "Rectified linear units improve restricted Boltzmann machines, " in Proc. ICML, 2010, pp. 1-8.
-
(2010)
Proc. ICML
, pp. 1-8
-
-
Nair, V.1
Hinton, G.E.2
-
40
-
-
84947041871
-
ImageNet large scale visual recognition chal-lenge
-
Dec.
-
O. Russakovsky et al, "ImageNet large scale visual recognition chal-lenge, " Int. J. Comput. Vis., vol. 115, no. 3, pp. 211-252, Dec. 2015.
-
(2015)
Int. J. Comput. Vis.
, vol.115
, Issue.3
, pp. 211-252
-
-
Russakovsky, O.1
-
41
-
-
84919881041
-
DeCAF: A deep convolutional activation feature for generic visual recognition
-
Jun.
-
J. Donahue et al, "DeCAF: A deep convolutional activation feature for generic visual recognition, " in Proc. 31st Int. Conf. Mach. Learn. (ICML), Beijing, China, Jun. 2014, pp. 21-26.
-
(2014)
Proc. 31st Int. Conf. Mach. Learn. (ICML), Beijing, China
, pp. 21-26
-
-
Donahue, J.1
-
42
-
-
84913580146
-
Caffe: Convolutional architecture for fast feature embed-ding
-
Y Jia et al, "Caffe: Convolutional architecture for fast feature embed-ding, " in Proc. 22nd ACM Int. Conf. Multimedia, 2014, pp. 675-678.
-
(2014)
Proc. 22nd ACM Int. Conf. Multimedia
, pp. 675-678
-
-
Jia, Y.1
|