-
1
-
-
85020634104
-
Sparse kernel orthonormalized PLS for feature extraction in large data sets, in: Neural Information Processing Systems, 2006
-
[1] J. Arenas-Garcia, K.B. Petersen, L.K. Hansen, Sparse kernel orthonormalized PLS for feature extraction in large data sets, in: Neural Information Processing Systems, 2006.
-
-
-
Arenas-Garcia, J.1
Petersen, K.B.2
Hansen, L.K.3
-
2
-
-
33645357937
-
Fast and simple calculus on tensors in the Log-Euclidean framework, in: Medical Image Computing and Computer Assisted Intervention, 2005
-
[2] V. Arsigny, P. Fillard, X. Pennec, N. Ayache, Fast and simple calculus on tensors in the Log-Euclidean framework, in: Medical Image Computing and Computer Assisted Intervention, 2005.
-
-
-
Arsigny, V.1
Fillard, P.2
Pennec, X.3
Ayache, N.4
-
3
-
-
84856655526
-
Modeling image similarity by gaussian mixture models and the signature quadratic form distance, in: International Conference on Computer Vision, 2011
-
[3] C. Beecks, A.M. Zimmer, S. Kirchhoff, T. Seidl, Modeling image similarity by gaussian mixture models and the signature quadratic form distance, in: International Conference on Computer Vision, 2011.
-
-
-
Beecks, C.1
Zimmer, A.M.2
Kirchhoff, S.3
Seidl, T.4
-
4
-
-
84887371778
-
Multipath sparse coding using hierarchical matching pursuit, in: Computer Vision and Pattern Recognition, 2013
-
[4] L. Bo, X. Ren, D. Fox, Multipath sparse coding using hierarchical matching pursuit, in: Computer Vision and Pattern Recognition, 2013.
-
-
-
Bo, L.1
Ren, X.2
Fox, D.3
-
5
-
-
85161987584
-
Efficient match kernel between sets of features for visual recognition, in: Neural Information Processing Systems, 2009
-
[5] L. Bo, C. Sminchisescu, Efficient match kernel between sets of features for visual recognition, in: Neural Information Processing Systems, 2009.
-
-
-
Bo, L.1
Sminchisescu, C.2
-
6
-
-
85020678577
-
In defense of nearest-neighbor based image classification, in: Computer Vision and Pattern Recognition, 2011
-
[6] O. Boiman, E. Shechtman, M. Irani, In defense of nearest-neighbor based image classification, in: Computer Vision and Pattern Recognition, 2011.
-
-
-
Boiman, O.1
Shechtman, E.2
Irani, M.3
-
7
-
-
84937954296
-
Self-adaptable templates for feature coding
-
[7] X. Boix, G. Roig, S. Diether, L.V. Gool, Self-adaptable templates for feature coding, in: Neural Information Processing Systems, 2014.
-
(2014)
Neural Information Processing Systems
-
-
Boix, X.1
Roig, G.2
Diether, S.3
Gool, L.V.4
-
9
-
-
84896473405
-
Semantic Segmentation with Second-Order Pooling
-
[9] J. Carreira, R. Caseiro, J. Batista, C. Sminchisescu, Semantic Segmentation with Second-Order Pooling, in: European Conference on Computer Vision, 2012.
-
(2012)
European Conference on Computer Vision
-
-
Carreira, J.1
Caseiro, R.2
Batista, J.3
Sminchisescu, C.4
-
10
-
-
84931572938
-
Free-form region description with second-order pooling
-
[10] Carreira, J., Caseiro, R., Batista, J., Sminchisescu, C., Free-form region description with second-order pooling. IEEE Trans. Pattern Anal. Mach. Intell. PP, 2014, 1.
-
(2014)
IEEE Trans. Pattern Anal. Mach. Intell. PP
, pp. 1
-
-
Carreira, J.1
Caseiro, R.2
Batista, J.3
Sminchisescu, C.4
-
11
-
-
79955702502
-
LIBSVM: a library for support vector machines
-
[11] Chang, C.C., Lin, C.J., LIBSVM: a library for support vector machines. ACM Trans. Intell. Syst. Technol., 2, 2011, 27.
-
(2011)
ACM Trans. Intell. Syst. Technol.
, vol.2
, pp. 27
-
-
Chang, C.C.1
Lin, C.J.2
-
12
-
-
84887396870
-
Blessing of dimensionality: high-dimensional feature and its efficient compression for face verification, in: Computer Vision and Pattern Recognition, 2013
-
[12] D. Chen, X. Cao, F. Wen, J. Sun, Blessing of dimensionality: high-dimensional feature and its efficient compression for face verification, in: Computer Vision and Pattern Recognition, 2013.
-
-
-
Chen, D.1
Cao, X.2
Wen, F.3
Sun, J.4
-
13
-
-
84928818805
-
Describing textures in the wild, in: Computer Vision and Pattern Recognition, 2014
-
[13] M. Cimpoi, S. Maji, I. Kokkinos, S. Mohamed, A. Vedaldi, Describing textures in the wild, in: Computer Vision and Pattern Recognition, 2014.
-
-
-
Cimpoi, M.1
Maji, S.2
Kokkinos, I.3
Mohamed, S.4
Vedaldi, A.5
-
14
-
-
84919881041
-
Decaf: A deep convolutional activation feature for generic visual recognition
-
[14] J. Donahue, Y. Jia, O. Vinyals, J. Hoffman, N. Zhang, E. Tzeng, T. Darrell, Decaf: A deep convolutional activation feature for generic visual recognition, in: International Conference on Machine Learning, 2014.
-
(2014)
International Conference on Machine Learning
-
-
Donahue, J.1
Jia, Y.2
Vinyals, O.3
Hoffman, J.4
Zhang, N.5
Tzeng, E.6
Darrell, T.7
-
15
-
-
84904622584
-
Optimal shrinkage of eigenvalues in the spiked covariance model, 2014
-
arXiv:1311.0851
-
[15] D.L. Donoho, M. Gavish, I.M. Johnstone, Optimal shrinkage of eigenvalues in the spiked covariance model, arXiv:1311.0851 2014.
-
-
-
Donoho, D.L.1
Gavish, M.2
Johnstone, I.M.3
-
16
-
-
77952417601
-
Non-euclidean statistics for covariance matrices, with applications to diffusion tensor imaging
-
[16] L. Dryden, A. Koloydenko, D. Zhou, Non-euclidean statistics for covariance matrices, with applications to diffusion tensor imaging, in: Annals of Applied Statistics, 2009.
-
(2009)
Annals of Applied Statistics
-
-
Dryden, L.1
Koloydenko, A.2
Zhou, D.3
-
17
-
-
77951298115
-
The Pascal visual object classes (VOC) challenge
-
[17] Everingham, M., Van Gool, L., Williams, C.K.I., Winn, J., Zisserman, A., The Pascal visual object classes (VOC) challenge. Int. J. Comput. Vis. 88 (2010), 303–338.
-
(2010)
Int. J. Comput. Vis.
, vol.88
, pp. 303-338
-
-
Everingham, M.1
Van Gool, L.2
Williams, C.K.I.3
Winn, J.4
Zisserman, A.5
-
18
-
-
33144466753
-
One-shot learning of object categories
-
[18] Fei-Fei, L., Fergus, R., Perona, P., One-shot learning of object categories. IEEE Trans. Pattern Anal. Mach. Intell. 28 (2006), 594–611.
-
(2006)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.28
, pp. 594-611
-
-
Fei-Fei, L.1
Fergus, R.2
Perona, P.3
-
19
-
-
77952671498
-
Visual word ambiguity
-
[19] van Gemert, J., Veenman, C.J., Smeulders, A.W.M., Geusebroek, J.M., Visual word ambiguity. IEEE Trans. Pattern Anal. Mach. Intell. 32 (2010), 1271–1283.
-
(2010)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.32
, pp. 1271-1283
-
-
van Gemert, J.1
Veenman, C.J.2
Smeulders, A.W.M.3
Geusebroek, J.M.4
-
21
-
-
33745855044
-
The pyramid match kernel: discriminative classification with sets of image features, in: International Conference on Computer Vision, 2005
-
[21] K. Grauman, T. Darrell, The pyramid match kernel: discriminative classification with sets of image features, in: International Conference on Computer Vision, 2005.
-
-
-
Grauman, K.1
Darrell, T.2
-
22
-
-
38349061181
-
The Caltech-256, Technical Report, California Institute of Technology
-
[22] G. Griffin, A. Holub, P. Perona, The Caltech-256, Technical Report, California Institute of Technology, 2007.
-
(2007)
-
-
Griffin, G.1
Holub, A.2
Perona, P.3
-
23
-
-
77956003992
-
Material perception: what can you see in a brief glance?
-
[23] haran, L., Rosenholtz, R., Adelson, E.H., Material perception: what can you see in a brief glance?. J. Vis., 9, 2009, 784.
-
(2009)
J. Vis.
, vol.9
, pp. 784
-
-
haran, L.1
Rosenholtz, R.2
Adelson, E.H.3
-
24
-
-
84938938571
-
From manifold to manifold: geometry-aware dimensionality reduction for spd matrices, in: European Conference on Computer Vision, 2014
-
[24] M.T. Harandi, M. Salzmann, R. Hartley, From manifold to manifold: geometry-aware dimensionality reduction for spd matrices, in: European Conference on Computer Vision, 2014.
-
-
-
Harandi, M.T.1
Salzmann, M.2
Hartley, R.3
-
25
-
-
84887400913
-
Kernel methods on the Riemannian manifold of symmetric positive definite matrices, in: Computer Vision and Pattern Recognition, 2013
-
[25] S. Jayasumana, R. Hartley, M. Salzmann, H. Li, M. Harandi, Kernel methods on the Riemannian manifold of symmetric positive definite matrices, in: Computer Vision and Pattern Recognition, 2013.
-
-
-
Jayasumana, S.1
Hartley, R.2
Salzmann, M.3
Li, H.4
Harandi, M.5
-
26
-
-
77956004473
-
Aggregating local descriptors into a compact image representation, in: Computer Vision and Pattern Recognition, 2010
-
[26] H. Jégou, M. Douze, C. Schmid, P. Pérez, Aggregating local descriptors into a compact image representation, in: Computer Vision and Pattern Recognition, 2010.
-
-
-
Jégou, H.1
Douze, M.2
Schmid, C.3
Pérez, P.4
-
27
-
-
77953179079
-
Linear dimensionality reduction for multi-label classification, in: International Joint Conference on Artificial Intelligence, 2009
-
[27] S. Ji, J. Ye, Linear dimensionality reduction for multi-label classification, in: International Joint Conference on Artificial Intelligence, 2009.
-
-
-
Ji, S.1
Ye, J.2
-
28
-
-
84898794697
-
Saliency detection via absorbing Markov chain, in: International Conference on Computer Vision, 2013
-
[28] B. Jiang, L. Zhang, H. Lu, C. Yang, M.H. Yang, Saliency detection via absorbing Markov chain, in: International Conference on Computer Vision, 2013.
-
-
-
Jiang, B.1
Zhang, L.2
Lu, H.3
Yang, C.4
Yang, M.H.5
-
29
-
-
84911397147
-
Dirichlet-based histogram feature transform for image classification
-
[29] T. Kobayashi, Dirichlet-based histogram feature transform for image classification, in: Computer Vision and Pattern Recognition, 2014.
-
(2014)
Computer Vision and Pattern Recognition
-
-
Kobayashi, T.1
-
30
-
-
84941735523
-
Higher-order Occurrence Pooling on Mid- and Low-level Features: Visual Concept Detection, Technical Report
-
[30] P. Koniusz, F. Yan, P.H. Gosselin, K. Mikolajczyk, Higher-order Occurrence Pooling on Mid- and Low-level Features: Visual Concept Detection, Technical Report, 2013.
-
(2013)
-
-
Koniusz, P.1
Yan, F.2
Gosselin, P.H.3
Mikolajczyk, K.4
-
31
-
-
33845572523
-
Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories, in: Computer Vision and Pattern Recognition, 2006
-
[31] S. Lazebnik, C. Schmid, J. Ponce, Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories, in: Computer Vision and Pattern Recognition, 2006.
-
-
-
Lazebnik, S.1
Schmid, C.2
Ponce, J.3
-
32
-
-
50649103674
-
What, where and who? Classifying events by scene and object recognition
-
[32] L.J. Li, F.F. Li, What, where and who? Classifying events by scene and object recognition, in: International Conference on Computer Vision, 2007.
-
(2007)
International Conference on Computer Vision
-
-
Li, L.J.1
Li, F.F.2
-
33
-
-
84986242459
-
Local log-euclidean covariance matrix (l2ecm) for image representation and its applications
-
[33] P. Li, Q. Wang, Local log-euclidean covariance matrix (l2ecm) for image representation and its applications, in: European Conference on Computer Vision, 2012.
-
(2012)
European Conference on Computer Vision
-
-
Li, P.1
Wang, Q.2
-
34
-
-
84898831609
-
A novel earth mover׳s distance methodology for image matching with gaussian mixture models, in: International Conference on Computer Vision, 2013
-
[34] P. Li, Q. Wang, L. Zhang, A novel earth mover׳s distance methodology for image matching with gaussian mixture models, in: International Conference on Computer Vision, 2013.
-
-
-
Li, P.1
Wang, Q.2
Zhang, L.3
-
35
-
-
80052726060
-
Representing and recognizing objects with massive local image patches
-
[35] Lin, L., Luo, P., Chen, X., Zeng, K., Representing and recognizing objects with massive local image patches. Pattern Recognit. 45 (2012), 231–240.
-
(2012)
Pattern Recognit.
, vol.45
, pp. 231-240
-
-
Lin, L.1
Luo, P.2
Chen, X.3
Zeng, K.4
-
36
-
-
0347117629
-
Multivariate normal distributions parametrized as a Riemannian symmetric space
-
[36] Lovric, M., Min-Oo, M., Ruh, E.A., Multivariate normal distributions parametrized as a Riemannian symmetric space. J. Multivar. Anal. 74 (2000), 36–48.
-
(2000)
J. Multivar. Anal.
, vol.74
, pp. 36-48
-
-
Lovric, M.1
Min-Oo, M.2
Ruh, E.A.3
-
37
-
-
3042535216
-
Distinctive image features from scale-invariant keypoints
-
[37] Lowe, D.G., Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis. 60 (2004), 91–110.
-
(2004)
Int. J. Comput. Vis.
, vol.60
, pp. 91-110
-
-
Lowe, D.G.1
-
38
-
-
77955994782
-
Global gaussian approach for scene categorization using information geometry, in: Computer Vision and Pattern Recognition, 2010
-
[38] H. Nakayama, T. Harada, Y. Kuniyoshi, Global gaussian approach for scene categorization using information geometry, in: Computer Vision and Pattern Recognition, 2010.
-
-
-
Nakayama, H.1
Harada, T.2
Kuniyoshi, Y.3
-
39
-
-
84957435511
-
Deep boosting: joint feature selection and analysis dictionary learning in hierarchy
-
[39] Peng, Z., Li, Y., Cai, Z., Lin, L., Deep boosting: joint feature selection and analysis dictionary learning in hierarchy. Neurocomputing 178 (2016), 36–45.
-
(2016)
Neurocomputing
, vol.178
, pp. 36-45
-
-
Peng, Z.1
Li, Y.2
Cai, Z.3
Lin, L.4
-
40
-
-
29344452228
-
A Riemannian framework for tensor computing
-
[40] Pennec, X., Fillard, P., Ayache, N., A Riemannian framework for tensor computing. Int. J. Comput. Vis., 2006, 41–66.
-
(2006)
Int. J. Comput. Vis.
, pp. 41-66
-
-
Pennec, X.1
Fillard, P.2
Ayache, N.3
-
41
-
-
32044457458
-
A study of Gaussian mixture models of color and texture features for image classification and segmentation
-
[41] Permuter, H., Francos, J., Jermyn, I., A study of Gaussian mixture models of color and texture features for image classification and segmentation. Pattern Recognit. 39 (2006), 695–706.
-
(2006)
Pattern Recognit.
, vol.39
, pp. 695-706
-
-
Permuter, H.1
Francos, J.2
Jermyn, I.3
-
42
-
-
0003517464
-
Digital Image Processing
-
4th Edition John Wiley & Sons, Inc. New York, NY, USA
-
[42] Pratt, W.K., Digital Image Processing. 4th Edition, 2007, John Wiley & Sons, Inc., New York, NY, USA.
-
(2007)
-
-
Pratt, W.K.1
-
43
-
-
0034313871
-
The earth mover׳s distance as a metric for image retrieval
-
[43] Rubner, Y., Tomasi, C., Guibas, L.J., The earth mover׳s distance as a metric for image retrieval. Int. J. Comput. Vis. 40 (2000), 99–121.
-
(2000)
Int. J. Comput. Vis.
, vol.40
, pp. 99-121
-
-
Rubner, Y.1
Tomasi, C.2
Guibas, L.J.3
-
44
-
-
84883487458
-
Image classification with the Fisher vector: theory and practice
-
[44] Sanchez, J., Perronnin, F., Mensink, T., Verbeek, J., Image classification with the Fisher vector: theory and practice. Int. J. Comput. Vis. 105 (2013), 222–245.
-
(2013)
Int. J. Comput. Vis.
, vol.105
, pp. 222-245
-
-
Sanchez, J.1
Perronnin, F.2
Mensink, T.3
Verbeek, J.4
-
45
-
-
84940009196
-
GOLD: Gaussians of local descriptors for image representation
-
[45] Serra, G., Grana, C., Manfredi, M., Cucchiara, R., GOLD: Gaussians of local descriptors for image representation. Comput. Vis. Image Underst. 134 (2015), 22–32.
-
(2015)
Comput. Vis. Image Underst.
, vol.134
, pp. 22-32
-
-
Serra, G.1
Grana, C.2
Manfredi, M.3
Cucchiara, R.4
-
47
-
-
84904163933
-
Dropout: a simple way to prevent neural networks from overfitting
-
[47] Srivastava, N., Hinton, G., Krizhevsky, A., Sutskever, I., Salakhutdinov, R., Dropout: a simple way to prevent neural networks from overfitting. J. Mach. Learn. Res. 15 (2014), 1929–1958.
-
(2014)
J. Mach. Learn. Res.
, vol.15
, pp. 1929-1958
-
-
Srivastava, N.1
Hinton, G.2
Krizhevsky, A.3
Sutskever, I.4
Salakhutdinov, R.5
-
48
-
-
0009377604
-
Lectures on the theory of estimation of many parameters
-
[48] Stein, C., Lectures on the theory of estimation of many parameters. J. Math. Sci. 34 (1986), 1373–1403.
-
(1986)
J. Math. Sci.
, vol.34
, pp. 1373-1403
-
-
Stein, C.1
-
49
-
-
85119024383
-
Deep fisher kernels – end to end learning of the Fisher kernel GMM parameters, in: Computer Vision and Pattern Recognition, 2014
-
[49] V. Sydorov, M. Sakurada, C.H. Lampert, Deep fisher kernels – end to end learning of the Fisher kernel GMM parameters, in: Computer Vision and Pattern Recognition, 2014.
-
-
-
Sydorov, V.1
Sakurada, M.2
Lampert, C.H.3
-
51
-
-
70349362313
-
VLFeat: an open and portable library of computer vision algorithms
-
[51] A. Vedaldi, B. Fulkerson, VLFeat: an open and portable library of computer vision algorithms, 〈 http://www.vlfeat.org/〉, 2008.
-
(2008)
-
-
Vedaldi, A.1
Fulkerson, B.2
-
52
-
-
84878084353
-
The Caltech-UCSD Birds-200-2011 Dataset, Technical Report
-
[52] C. Wah, S. Branson, P. Welinder, P. Perona, S. Belongie, The Caltech-UCSD Birds-200-2011 Dataset, Technical Report, 2011.
-
(2011)
-
-
Wah, C.1
Branson, S.2
Welinder, P.3
Perona, P.4
Belongie, S.5
-
53
-
-
77955996870
-
Locality-constrained linear coding for image classification
-
[53] J. Wang, J. Yang, K. Yu, F. Lv, T.S. Huang, Y. Gong, Locality-constrained linear coding for image classification, in: Computer Vision and Pattern Recognition, 2010.
-
(2010)
Computer Vision and Pattern Recognition
-
-
Wang, J.1
Yang, J.2
Yu, K.3
Lv, F.4
Huang, T.S.5
Gong, Y.6
-
55
-
-
84931575397
-
Visual feature coding for image classification integrating dictionary structure
-
[55] Yang, Y.B., Zhu, Q.H., Mao, X.J., Pan, L.Y., Visual feature coding for image classification integrating dictionary structure. Pattern Recognit. 48 (2015), 3067–3075.
-
(2015)
Pattern Recognit.
, vol.48
, pp. 3067-3075
-
-
Yang, Y.B.1
Zhu, Q.H.2
Mao, X.J.3
Pan, L.Y.4
-
57
-
-
84866662426
-
Pose pooling kernels for sub-category recognition, in: Computer Vision and Pattern Recognition, 2012
-
[57] N. Zhang, R. Farrell, T. Darrell, Pose pooling kernels for sub-category recognition, in: Computer Vision and Pattern Recognition, 2012.
-
-
-
Zhang, N.1
Farrell, R.2
Darrell, T.3
-
58
-
-
84896068752
-
Towards codebook-free: scalable cascaded hashing for mobile image search
-
[58] Zhou, W., Yang, M., Li, H., Wang, X., Lin, Y., Tian, Q., Towards codebook-free: scalable cascaded hashing for mobile image search. IEEE Trans. Multimed. 16 (2014), 601–611.
-
(2014)
IEEE Trans. Multimed.
, vol.16
, pp. 601-611
-
-
Zhou, W.1
Yang, M.2
Li, H.3
Wang, X.4
Lin, Y.5
Tian, Q.6
-
59
-
-
80052886214
-
Image classification using super-vector coding of local image descriptors, in: European Conference on Computer Vision, 2010
-
[59] X. Zhou, K. Yu, T. Zhang, T.S. Huang, Image classification using super-vector coding of local image descriptors, in: European Conference on Computer Vision, 2010.
-
-
-
Zhou, X.1
Yu, K.2
Zhang, T.3
Huang, T.S.4
|