-
1
-
-
33846207428
-
Toward a coherent statistical framework for dense deformable template estimation
-
S. Allassonniere, Y. Amit, and A. Trouve, "Toward a Coherent Statistical Framework for Dense Deformable Template Estimation," J. Royal Statistical Soc., vol. 69, pp. 3-29, 2007.
-
(2007)
J. Royal Statistical Soc
, vol.69
, pp. 3-29
-
-
Allassonniere, S.1
Amit, Y.2
Trouve, A.3
-
3
-
-
34548099503
-
POP: Patchwork of parts models for object recognition
-
DOI 10.1007/s11263-006-0033-9
-
Y. Amit and A. Trouve, "POP. Patchwork of Parts Models for Object Recognition," Int'l J. Computer Vision, vol 75, pp. 267-282, 2007. (Pubitemid 47293422)
-
(2007)
International Journal of Computer Vision
, vol.75
, Issue.2
, pp. 267-282
-
-
Amit, Y.1
Trouve, A.2
-
6
-
-
37249063252
-
Statistical estimation of histogram variation for texture classification
-
thesis
-
R.E. Broadhurst, "Statistical Estimation of Histogram Variation for Texture Classification," Proc. Workshop Texture Analysis and Synthesis, 2005.
-
(2005)
Proc. Workshop Texture Analysis and Syn
-
-
Broadhurst, R.E.1
-
8
-
-
77955993281
-
Learning mid-level features for recognition
-
Y.-L. Boureau, F. Bach, Y. LeCun, and J. Ponce, "Learning Mid-Level Features For Recognition," Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2010.
-
(2010)
Proc. IEEE Conf. Computer Vision and Pattern Recognition
-
-
Boureau, Y.-L.1
Bach, F.2
Lecun, Y.3
Ponce, J.4
-
11
-
-
77951255259
-
Using basic image features for texture classification
-
M. Crosier and L. Griffin, "Using Basic Image Features for Texture Classification," Int'l J. Computer Vision, pp. 447-460, 2010.
-
(2010)
Int'l J. Computer Vision
, pp. 447-460
-
-
Crosier, M.1
Griffin, L.2
-
12
-
-
84932617705
-
Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories
-
L. Fei-Fei, R. Fergus, and P. Perona, "Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories," Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2004.
-
(2004)
Proc. IEEE Conf. Computer Vision and Pattern Recognition
-
-
Fei-Fei, L.1
Fergus, R.2
Perona, P.3
-
13
-
-
70449703293
-
Rotation invariant texture classification using LBP variance (LBPV) with global matching
-
Aug
-
Z. Guo, L. Zhang, and D. Zhang, "Rotation Invariant Texture Classification Using LBP Variance (LBPV) with Global Matching," J. Pattern Recognition, vol. 43, pp. 706-719, Aug. 2010.
-
(2010)
J. Pattern Recognition
, vol.43
, pp. 706-719
-
-
Guo, Z.1
Zhang, L.2
Zhang, D.3
-
15
-
-
33745873731
-
On the significance of real-world conditions for material classification
-
E. Hayman, B. Caputo, M. Fritz, and J.O. Eklundh, "On the Significance of Real-World Conditions for Material Classification," Proc. European Conf. Computer Vision, 2004.
-
(2004)
Proc. European Conf. Computer Vision
-
-
Hayman, E.1
Caputo, B.2
Fritz, M.3
Eklundh, J.O.4
-
17
-
-
34447280375
-
Deformation models for image recognition
-
DOI 10.1109/TPAMI.2007.1153
-
D. Keysers, T. Deselaers, C. Gollan, and H. Ney, "Deformation Models for Image Recognition," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 29, no. 8, pp. 1422-1435, Aug. 2007. (Pubitemid 47040440)
-
(2007)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.29
, Issue.8
, pp. 1422-1435
-
-
Keysers, D.1
Deselaers, T.2
Gollan, C.3
Ney, H.4
-
18
-
-
59449087310
-
Exploring strategies for training deep neural networks
-
Jan
-
H. Larochelle, Y. Bengio, J. Louradour, and P. Lamblin, "Exploring Strategies for Training Deep Neural Networks," J. Machine Learning Research, vol. 10, pp. 1-40, Jan. 2009.
-
(2009)
J. Machine Learning Research
, vol.10
, pp. 1-40
-
-
Larochelle, H.1
Bengio, Y.2
Louradour, J.3
Lamblin, P.4
-
21
-
-
0035358496
-
Representing and recognizing the visual appearance of materials using three-dimensional textons
-
DOI 10.1023/A:1011126920638
-
T. Leung and J. Malik, "Representing and Recognizing the Visual Appearance of Materials Using Three-Dimensional Textons," Int'l J. Computer Vision, vol. 43, no. 1, pp. 29-44, 2001. (Pubitemid 32720091)
-
(2001)
International Journal of Computer Vision
, vol.43
, Issue.1
, pp. 29-44
-
-
Leung, T.1
Malik, J.2
-
23
-
-
3042535216
-
Distinctive image features from scale-invariant Keypoints
-
D.G. Lowe, "Distinctive Image Features from Scale-Invariant Keypoints," Int'l J. Computer Vision, vol. 60, no. 2, pp. 91-110, 2004.
-
(2004)
Int'l J. Computer Vision
, vol.60
, Issue.2
, pp. 91-110
-
-
Lowe, D.G.1
-
25
-
-
84864324516
-
Group invariant scattering
-
Oct.
-
S. Mallat, "Group Invariant Scattering," Comm. Pure and Applied Math., vol. 65, no. 10, pp. 1331-1398, Oct. 2012.
-
(2012)
Comm. Pure and Applied Math
, vol.65
, Issue.10
, pp. 1331-1398
-
-
Mallat, S.1
-
27
-
-
84857419890
-
Task-driven dictionary learning
-
Apr.
-
J. Mairal, F. Bach, and J. Ponce, "Task-Driven Dictionary Learning," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 34, no. 4, pp. 791-804, Apr. 2012.
-
(2012)
IEEE Trans. Pattern Analysis and Machine Intelligence
, vol.34
, Issue.4
, pp. 791-804
-
-
Mairal, J.1
Bach, F.2
Ponce, J.3
-
29
-
-
77956001002
-
Role of homeostasis in learning sparse representations
-
L. Perrinet, "Role of Homeostasis in Learning Sparse Representations," Neural Computation J., vol. 22, pp. 1812-1836, 2010.
-
(2010)
Neural Computation J
, vol.22
, pp. 1812-1836
-
-
Perrinet, L.1
-
30
-
-
34948870900
-
Unsupervised learning of invariant feature hierarchies with applications to object recognition
-
M. Ranzato, F. Huang, Y. Boreau, and Y. LeCun, "Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition," Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2007.
-
(2007)
Proc. IEEE Conf. Computer Vision and Pattern Recognition
-
-
Ranzato, M.1
Huang, F.2
Boreau, Y.3
Lecun, Y.4
-
31
-
-
84958663696
-
Gabor Feature Space Diffusion via the Minimal Weighted Area Method
-
Energy Minimization Methods in Computer Vision and Pattern Recognition
-
C. Sagiv, N.A. Sochen, and Y.Y. Zeevi, "Gabor Feature Space Diffusion via the Minimal Weighted Area Method" Proc. Third Int'l Workshop Energy Minimization Methods in Computer Vision and Pattern Recognition, pp. 621-635, 2001. (Pubitemid 33331844)
-
(2001)
Lecture Notes in Computer Science
, Issue.2134
, pp. 621-635
-
-
Sagiv, C.1
Sochen, N.A.2
Zeevi, Y.Y.3
-
34
-
-
77949875753
-
DAISY: An efficient dense descriptor applied to wide-baseline stereo
-
May
-
E. Tola, V. Lepetit, and P. Fua, "DAISY: An Efficient Dense Descriptor Applied to Wide-Baseline Stereo," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 32, no. 5, pp. 815-830, May 2010.
-
(2010)
IEEE Trans. Pattern Analysis and Machine Intelligence
, vol.32
, Issue.5
, pp. 815-830
-
-
Tola, E.1
Lepetit, V.2
Fua, P.3
-
36
-
-
33748802431
-
Robust higher order statistics
-
M. Welling, "Robust Higher Order Statistics," AISTATS, 2005.
-
(2005)
AISTATS
-
-
Welling, M.1
-
37
-
-
84879874175
-
Phase recovery, maxcut and complex semidefinite programming
-
1206.0102, June
-
I. Waldspurger, A. D'Aspremont, and S. Mallat, "Phase Recovery, Maxcut and Complex Semidefinite Programming," ArXiv: 1206.0102, June 2012.
-
(2012)
ArXiv
-
-
Waldspurger, I.1
D'Aspremont, A.2
Mallat, S.3
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