-
1
-
-
77955993481
-
The e-PCA and m-PCA: Dimension reduction of parameters by information geometry
-
S. Akaho. The e-PCA and m-PCA: Dimension reduction of parameters by information geometry. In Proc. IJCNN, 2004.
-
(2004)
Proc. IJCNN
-
-
Akaho, S.1
-
2
-
-
0029587111
-
Information geometry of the EM and em algorithms for neural networks
-
S. Amari. Information geometry of the EM and em algorithms for neural networks. Neural Networks, 8, 1995.
-
(1995)
Neural Networks
, pp. 8
-
-
Amari, S.1
-
4
-
-
43049174575
-
SURF: Speeded up robust features
-
H. Bay, A. Ess, T. Tuytelaars, and L. van Gool. SURF: Speeded up robust features. Computer Vision and Image Understanding, 110(3):346-359, 2008.
-
(2008)
Computer Vision and Image Understanding
, vol.110
, Issue.3
, pp. 346-359
-
-
Bay, H.1
Ess, A.2
Tuytelaars, T.3
Van Gool, L.4
-
6
-
-
42449162318
-
Scene classification using a hybrid generative/discriminative approach
-
A. Bosch, A. Zisserman, and X. Muñoz. Scene classification using a hybrid generative/discriminative approach. IEEE Trans. Pattern Analysis and Machine Intelligence, 30(4):712-727, 2008.
-
(2008)
IEEE Trans. Pattern Analysis and Machine Intelligence
, vol.30
, Issue.4
, pp. 712-727
-
-
Bosch, A.1
Zisserman, A.2
Muñoz, X.3
-
8
-
-
24644524200
-
Visual categorization with bags of keypoints
-
G. Csurka, C. R. Dance, L. Fan, J. Willamowski, and C. Bray. Visual categorization with bags of keypoints. In Proc. ECCV Workshop on Statistical Learning in Computer Vision, 2004.
-
Proc. ECCV Workshop on Statistical Learning in Computer Vision, 2004
-
-
Csurka, G.1
Dance, C.R.2
Fan, L.3
Willamowski, J.4
Bray, C.5
-
9
-
-
33745155436
-
A Bayesian hierarchical model for learning natural scene categories
-
L. Fei-Fei and P. Perona. A Bayesian hierarchical model for learning natural scene categories. In Proc. IEEE CVPR, pages 524-531, 2005.
-
(2005)
Proc. IEEE CVPR
, pp. 524-531
-
-
Fei-Fei, L.1
Perona, P.2
-
10
-
-
3142705638
-
Stochastic reasoning, free energy, and information geometry
-
S. Ikeda, T. Tanaka, and S. Amari. Stochastic reasoning, free energy, and information geometry. Neural Computation, 16:1779-1810, 2004.
-
(2004)
Neural Computation
, vol.16
, pp. 1779-1810
-
-
Ikeda, S.1
Tanaka, T.2
Amari, S.3
-
11
-
-
33745813824
-
Probabilistic linear discriminant analysis
-
S. Ioffe. Probabilistic linear discriminant analysis. In Proc. ECCV, pages 531-542, 2006.
-
(2006)
Proc. ECCV
, pp. 531-542
-
-
Ioffe, S.1
-
12
-
-
33745934686
-
Creating efficient codebooks for visual recognition
-
F. Jurie and B. Triggs. Creating efficient codebooks for visual recognition. In Proc. IEEE ICCV, 2005.
-
Proc. IEEE ICCV, 2005
-
-
Jurie, F.1
Triggs, B.2
-
13
-
-
33845572523
-
Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories
-
S. Lazebnik, C. Schmid, and J. Ponce. Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In Proc. IEEE CVPR, 2006.
-
Proc. IEEE CVPR, 2006
-
-
Lazebnik, S.1
Schmid, C.2
Ponce, J.3
-
14
-
-
50649103674
-
What, where and who? Classifying events by scene and object recognition
-
L.-J. Li and L. Fei-Fei. What, where and who? Classifying events by scene and object recognition. In Proc. IEEE ICCV, 2007.
-
Proc. IEEE ICCV, 2007
-
-
Li, L.-J.1
Fei-Fei, L.2
-
15
-
-
0033284915
-
Object recognition from local scale-invariant features
-
D. G. Lowe. Object recognition from local scale-invariant features. In Proc. IEEE ICCV, pages 1150-1157, 1999.
-
(1999)
Proc. IEEE ICCV
, pp. 1150-1157
-
-
Lowe, D.G.1
-
16
-
-
77953184603
-
Max-margin additive classifiers for detection
-
S. Maji and A. C. Berg. Max-margin additive classifiers for detection. In Proc. IEEE ICCV, pages 40-47, 2009.
-
(2009)
Proc. IEEE ICCV
, pp. 40-47
-
-
Maji, S.1
Berg, A.C.2
-
18
-
-
84899001695
-
A Kullback-Leibler divergence based kernel for SVM classification in multimedia applications
-
P. J. Moreno, P. P. Ho, and N. Vasconcelos. A Kullback-Leibler divergence based kernel for SVM classification in multimedia applications. In Proc. NIPS, 2003.
-
Proc. NIPS, 2003
-
-
Moreno, P.J.1
Ho, P.P.2
Vasconcelos, N.3
-
19
-
-
2942627097
-
Information geometry of U-boost and Bregman divergence
-
N. Murata, T. Takenouchi, T. Kanamori, and S. Eguchi. Information geometry of U-boost and Bregman divergence. Neural Computation, 16:1437-1481, 2004.
-
(2004)
Neural Computation
, vol.16
, pp. 1437-1481
-
-
Murata, N.1
Takenouchi, T.2
Kanamori, T.3
Eguchi, S.4
-
20
-
-
33745835368
-
Sampling strategies for bag-of-features image classification
-
E. Nowak, F. Jurie, and B. Trigges. Sampling strategies for bag-of-features image classification. In Proc. ECCV, pages 490-503, 2006.
-
(2006)
Proc. ECCV
, pp. 490-503
-
-
Nowak, E.1
Jurie, F.2
Trigges, B.3
-
21
-
-
0035328421
-
Modeling the shape of the scene: A holistic representation of the spatial envelope
-
A. Oliva and A. Torralba. Modeling the shape of the scene: A holistic representation of the spatial envelope. International Journal of Computer Vision, 42(3):145-175, 2001.
-
(2001)
International Journal of Computer Vision
, vol.42
, Issue.3
, pp. 145-175
-
-
Oliva, A.1
Torralba, A.2
-
22
-
-
33745812320
-
Adapted vocabularies for generic visual categorization
-
F. Perronnin, C. R. Dance, G. Csurka, and M. Bressan. Adapted vocabularies for generic visual categorization. In Proc. ECCV, pages 464-475, 2006.
-
(2006)
Proc. ECCV
, pp. 464-475
-
-
Perronnin, F.1
Dance, C.R.2
Csurka, G.3
Bressan, M.4
-
25
-
-
33745818927
-
Region covariance: A fast descriptor for detection and classification
-
O. Tuzel, F. Porikli, and P. Meer. Region covariance: A fast descriptor for detection and classification. In Proc. ECCV, pages 589-600, 2006.
-
(2006)
Proc. ECCV
, pp. 589-600
-
-
Tuzel, O.1
Porikli, F.2
Meer, P.3
-
27
-
-
56749102464
-
Kernel codebooks for scene categorization
-
J. C. van Gemert, J.-M. Geusebroek, C. J. Veenman, and A. W. M. Smeulders. Kernel codebooks for scene categorization. In Proc. ECCV, pages 696-709, 2008.
-
(2008)
Proc. ECCV
, pp. 696-709
-
-
Van Gemert, J.C.1
Geusebroek, J.-M.2
Veenman, C.J.3
Smeulders, A.W.M.4
-
28
-
-
26944486974
-
The Kullback-Leibler kernel as a framework for discriminant and localized representations for visual recognition
-
N. Vasconcelos, P. P. Ho, and P. J. Moreno. The Kullback-Leibler kernel as a framework for discriminant and localized representations for visual recognition. In Proc. ECCV, 2004.
-
Proc. ECCV, 2004
-
-
Vasconcelos, N.1
Ho, P.P.2
Moreno, P.J.3
-
29
-
-
77953226691
-
Beyond the Euclidean distance: Creating effective visual codebooks using the histogram intersection kernel
-
J. Wu and J. M. Rehg. Beyond the Euclidean distance: Creating effective visual codebooks using the histogram intersection kernel. In Proc. IEEE ICCV, pages 630-637, 2009.
-
(2009)
Proc. IEEE ICCV
, pp. 630-637
-
-
Wu, J.1
Rehg, J.M.2
-
30
-
-
77953214508
-
Hierarchical Gaussianization for image classification
-
X. Zhou, N. Cui, Z. Li, F. Liang, and T. S. Huang. Hierarchical Gaussianization for image classification. In Proc. IEEE ICCV, pages 1971-1977, 2009.
-
(2009)
Proc. IEEE ICCV
, pp. 1971-1977
-
-
Zhou, X.1
Cui, N.2
Li, Z.3
Liang, F.4
Huang, T.S.5
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