-
7
-
-
0031211090
-
A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
-
Y. Freund, and R. Schapire A decision-theoretic generalization of on-line learning and an application to boosting Journal of Computation and System Science 55 1 1997 119 139 (Pubitemid 127433398)
-
(1997)
Journal of Computer and System Sciences
, vol.55
, Issue.1
, pp. 119-139
-
-
Freund, Y.1
Schapire, R.E.2
-
10
-
-
0003660631
-
Additive Logistic Regression: A Statistical View of Boosting
-
Stanford Univ.
-
J. Friedman, T. Hastie, R. Tibshirani, Additive logistic regression: a statistical view of boosting, Technique Report, Stanford Univ., 1998.
-
(1998)
Technique Report
-
-
Friedman, J.1
Hastie, T.2
Tibshirani, R.3
-
11
-
-
84927743140
-
Recognition using regions
-
C. Gu, J.J. Lim, P. Arbelaez, J. Malik, Recognition using regions, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2009.
-
(2009)
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
-
-
Gu, C.1
Lim, J.J.2
Arbelaez, P.3
Malik, J.4
-
12
-
-
3042535216
-
Distinctive image features from scale-invariant keypoints
-
D.G. Lowe Distinctive image features from scale-invariant keypoints International Journal of Computer Vision 60 2 2004 91 110
-
(2004)
International Journal of Computer Vision
, vol.60
, Issue.2
, pp. 91-110
-
-
Lowe, D.G.1
-
16
-
-
62349137210
-
A stochastic graph grammar for compositional object representation and recognition
-
L. Lin, T. Wu, J. Porway, and Z. Xu A stochastic graph grammar for compositional object representation and recognition Pattern Recognition 42 7 2009 1297 1307
-
(2009)
Pattern Recognition
, vol.42
, Issue.7
, pp. 1297-1307
-
-
Lin, L.1
Wu, T.2
Porway, J.3
Xu, Z.4
-
18
-
-
0029938380
-
Emergence of simple-cell receptive field properties by learning a sparse code for natural images
-
DOI 10.1038/381607a0
-
B.A. Olshausen, and D.J. Field Emergence of simple-cell receptive field properties by learning a sparse code for natural images Nature 381 1996 607 609 (Pubitemid 26177476)
-
(1996)
Nature
, vol.381
, Issue.6583
, pp. 607-609
-
-
Olshausen, B.A.1
Field, D.J.2
-
21
-
-
56549126210
-
Unsupervised category modeling, recognition, and segmentation in images
-
S. Todorovic, and N. Ahuja Unsupervised category modeling, recognition, and segmentation in images IEEE Transactions on Pattern Analysis and Machine Intelligence 32 12 2008 2158 2174
-
(2008)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.32
, Issue.12
, pp. 2158-2174
-
-
Todorovic, S.1
Ahuja, N.2
-
22
-
-
33745897632
-
Probabilistic boosting tree: Learning discriminative models for classification, recognition, and clustering
-
Z. Tu, Probabilistic boosting tree: learning discriminative models for classification, recognition, and clustering, in: Proceedings of IEEE International Conference on Computer Vision, 2005.
-
(2005)
Proceedings of IEEE International Conference on Computer Vision
-
-
Tu, Z.1
-
26
-
-
79951911492
-
Learning Active Basis model for object detection and recognition
-
Y.N. Wu, Z. Si, H. Gong, and S.C. Zhu Learning Active Basis model for object detection and recognition International Journal of Computer Vision 90 2 2010 198 235
-
(2010)
International Journal of Computer Vision
, vol.90
, Issue.2
, pp. 198-235
-
-
Wu, Y.N.1
Si, Z.2
Gong, H.3
Zhu, S.C.4
-
28
-
-
77954862144
-
I2T: Image parsing to text description
-
B. Yao, X. Yang, L. Lin, M.W. Lee, and S.C. Zhu I2T: image parsing to text description Proceedings of IEEE vol. 98, no. 8 2010 1485 1508
-
(2010)
Proceedings of IEEE
, vol.988
, pp. 1485-1508
-
-
Yao, B.1
Yang, X.2
Lin, L.3
Lee, M.W.4
Zhu, S.C.5
-
29
-
-
33846580425
-
Local features and kernels for classification of texture and object categories: A comprehensive study
-
DOI 10.1007/s11263-006-9794-4
-
J. Zhang, M. Marszalek, S. Lazebnik, and C. Schmid Local features and kernels for classification of texture and object categories: a comprehensive study International Journal of Computer Vision 73 2 2007 213 238 (Pubitemid 46181625)
-
(2007)
International Journal of Computer Vision
, vol.73
, Issue.2
, pp. 213-238
-
-
Zhang, J.1
Marszalek, M.2
Lazebnik, S.3
Schmid, C.4
-
30
-
-
0000806445
-
Minimax Entropy Principle and Its Application to Texture Modeling
-
S.C. Zhu, Y.N. Wu, and D. Mumford Minimax entropy principle and its applications to texture modeling Neural Computation 9 8 1997 1627 1660 (Pubitemid 127462299)
-
(1997)
Neural Computation
, vol.9
, Issue.8
, pp. 1627-1660
-
-
Zhu, S.C.1
Wu, Y.N.2
Mumford, D.3
|