-
1
-
-
0042378381
-
Laplacian eigenmaps for dimensionality reduction and data representation
-
3, 4
-
M. Belkin and P. Niyogi. Laplacian eigenmaps for dimensionality reduction and data representation. Neural computation, 15(6):1373-1396, 2003. 3, 4
-
(2003)
Neural Computation
, vol.15
, Issue.6
, pp. 1373-1396
-
-
Belkin, M.1
Niyogi, P.2
-
2
-
-
51949090223
-
Defense of nearest-neighbor based image classification
-
6
-
O. Boiman, E. Shechtman, and M. Irani. In defense of nearest-neighbor based image classification. In CVPR, 2008. 6
-
(2008)
CVPR
-
-
Boiman, O.1
Shechtman, E.2
Irani, M.3
-
3
-
-
36849014901
-
Representing shape with a spatial pyramid kernel
-
4
-
A. Bosch, A. Zisserman, and X. Munoz. Representing shape with a spatial pyramid kernel. In CIVR, 2007. 4
-
(2007)
CIVR
-
-
Bosch, A.1
Zisserman, A.2
Munoz, X.3
-
4
-
-
50649101132
-
Image classification using random forests and ferns
-
4, 6
-
A. Bosch, A. Zisserman, and X. Muoz. Image classification using random forests and ferns. In ICCV, 2007. 4, 6
-
(2007)
ICCV
-
-
Bosch, A.1
Zisserman, A.2
Muoz, X.3
-
5
-
-
0035478854
-
Random forests
-
5
-
L. Breiman. Random forests. Machine learning, 45(1):5-32, 2001. 5
-
(2001)
Machine Learning
, vol.45
, Issue.1
, pp. 5-32
-
-
Breiman, L.1
-
7
-
-
77956772432
-
Neural dynamics of category learning and recognition: Attention, memory consolidation, and amnesia
-
1
-
G. A. Carpenter and S. Grossberg. Neural dynamics of category learning and recognition: Attention, memory consolidation, and amnesia. Advances in Psychology, 42:239-286, 1987. 1
-
(1987)
Advances in Psychology
, vol.42
, pp. 239-286
-
-
Carpenter, G.A.1
Grossberg, S.2
-
8
-
-
84898420173
-
The devil is in the details: An evaluation of recent feature encoding methods
-
7
-
K. Chatfield, V. Lempitsky, A. Vedaldi, and A. Zisserman. The devil is in the details: an evaluation of recent feature encoding methods. In BMVC, 2011. 7
-
(2011)
BMVC
-
-
Chatfield, K.1
Lempitsky, V.2
Vedaldi, A.3
Zisserman, A.4
-
9
-
-
80052948224
-
Global contrast based salient region detection
-
4
-
M.-M. Cheng, G.-X. Zhang, N. J. Mitra, X. Huang, and S.-M. Hu. Global contrast based salient region detection. In CVPR, 2011. 4
-
(2011)
CVPR
-
-
Cheng, M.-M.1
Zhang, G.-X.2
Mitra, N.J.3
Huang, X.4
Hu, S.-M.5
-
10
-
-
84866714584
-
Multi-column deep neural networks for image classification
-
2, 6
-
D. Ciresan, U. Meier, and J. Schmidhuber. Multi-column deep neural networks for image classification. In CVPR, 2012. 2, 6
-
(2012)
CVPR
-
-
Ciresan, D.1
Meier, U.2
Schmidhuber, J.3
-
11
-
-
80053442434
-
The importance of encoding versus training with sparse coding and vector quantization
-
6
-
A. Coates and A. Ng. The importance of encoding versus training with sparse coding and vector quantization. In ICML, 2011. 6
-
(2011)
ICML
-
-
Coates, A.1
Ng, A.2
-
12
-
-
85198028989
-
ImageNet: A large-scale hierarchical image database
-
2
-
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei. ImageNet: A Large-Scale Hierarchical Image Database. In CVPR09, 2009. 2
-
(2009)
CVPR09
-
-
Deng, J.1
Dong, W.2
Socher, R.3
Li, L.-J.4
Li, K.5
Fei-Fei, L.6
-
13
-
-
51849167307
-
-
2, 5, 6
-
M. Everingham, L. Van Gool, C. Williams, J. Winn, and A. Zisserman. The pascal visual object classes challenge 2007 (voc 2007) results (2007), 2008. 2, 5, 6
-
(2008)
The Pascal Visual Object Classes Challenge 2007 (Voc 2007) Results (2007)
-
-
Everingham, M.1
Van Gool, L.2
Williams, C.3
Winn, J.4
Zisserman, A.5
-
14
-
-
34047174674
-
Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories
-
2, 5
-
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. Computer Vision and Image Understanding, 106(1):59-70, 2007. 2, 5
-
(2007)
Computer Vision and Image Understanding
, vol.106
, Issue.1
, pp. 59-70
-
-
Fei-Fei, L.1
Fergus, R.2
Perona, P.3
-
15
-
-
51949101472
-
Similarity-based cross-layered hierarchical representation for object categorization
-
6
-
S. Fidler, M. Boben, and A. Leonardis. Similarity-based cross-layered hierarchical representation for object categorization. In CVPR, 2008. 6
-
(2008)
CVPR
-
-
Fidler, S.1
Boben, M.2
Leonardis, A.3
-
16
-
-
0019152630
-
Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift
-
1, 2
-
K. Fukushima. Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position. Biological cybernetics, 36(4):193-202, 1980. 1, 2
-
(1980)
Position. Biological Cybernetics
, vol.36
, Issue.4
, pp. 193-202
-
-
Fukushima, K.1
-
17
-
-
85067032737
-
On feature combination for multiclass object classification
-
2, 5, 6
-
P. Gehler and S. Nowozin. On feature combination for multiclass object classification. In ICCV, 2009. 2, 5, 6
-
(2009)
ICCV
-
-
Gehler, P.1
Nowozin, S.2
-
19
-
-
33845572523
-
Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories
-
6
-
S. Lazebnik, C. Schmid, and J. Ponce. Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In CVPR, 2006. 6
-
(2006)
CVPR
-
-
Lazebnik, S.1
Schmid, C.2
Ponce, J.3
-
21
-
-
5044231640
-
Learning methods for generic object recognition with invariance to pose and lighting
-
2, 5, 6
-
Y. LeCun, F. Huang, and L. Bottou. Learning methods for generic object recognition with invariance to pose and lighting. In CVPR, 2004. 2, 5, 6
-
(2004)
CVPR
-
-
Lecun, Y.1
Huang, F.2
Bottou, L.3
-
22
-
-
3042535216
-
Distinctive image features from scale-invariant keypoints
-
4
-
D. Lowe. Distinctive image features from scale-invariant keypoints. International journal of computer vision, 60(2):91-110, 2004. 4
-
(2004)
International Journal of Computer Vision
, vol.60
, Issue.2
, pp. 91-110
-
-
Lowe, D.1
-
23
-
-
84864446994
-
Sparse spatial coding: A novel approach for efficient and accurate object recognition
-
6
-
G. Oliveira, E. Nascimento, A. Vieira, and M. Campos. Sparse spatial coding: A novel approach for efficient and accurate object recognition. In ICRA, 2012. 6
-
(2012)
ICRA
-
-
Oliveira, G.1
Nascimento, E.2
Vieira, A.3
Campos, M.4
-
24
-
-
34948815101
-
Fisher kernels on visual vocabularies for image categorization
-
7
-
F. Perronnin and C. Dance. Fisher kernels on visual vocabularies for image categorization. In CVPR, 2007. 7
-
(2007)
CVPR
-
-
Perronnin, F.1
Dance, C.2
-
26
-
-
51949111396
-
Learning subcategory relevances for category recognition
-
2, 6
-
S. Todorovic and N. Ahuja. Learning subcategory relevances for category recognition. In CVPR, 2008. 2, 6
-
(2008)
CVPR
-
-
Todorovic, S.1
Ahuja, N.2
-
27
-
-
56449089103
-
Extracting and composing robust features with denoising autoencoders
-
2
-
P. Vincent, H. Larochelle, Y. Bengio, and P.-A. Manzagol. Extracting and composing robust features with denoising autoencoders. In International Conference on Machine Learning, pages 1096-1103, 2008. 2
-
(2008)
International Conference on Machine Learning
, pp. 1096-1103
-
-
Vincent, P.1
Larochelle, H.2
Bengio, Y.3
Manzagol, P.-A.4
-
28
-
-
77955996870
-
Locality-constrained linear coding for image classification
-
2, 6
-
J. Wang, J. Yang, K. Yu, F. Lv, T. Huang, and Y. Gong. Locality-constrained linear coding for image classification. In CVPR, 2010. 2, 6
-
(2010)
CVPR
-
-
Wang, J.1
Yang, J.2
Yu, K.3
Lv, F.4
Huang, T.5
Gong, Y.6
-
29
-
-
33749550361
-
Distance metric learning for large margin nearest neighbor classification
-
4
-
K. Weinberger, J. Blitzer, and L. Saul. Distance metric learning for large margin nearest neighbor classification. In NIPS, 2006. 4
-
(2006)
NIPS
-
-
Weinberger, K.1
Blitzer, J.2
Saul, L.3
-
31
-
-
77952494909
-
Group-sensitive multiple kernel learning for object categorization
-
2, 6, 7
-
J. Yang, Y. Li, Y. Tian, L. Duan, andW. Gao. Group-sensitive multiple kernel learning for object categorization. In ICCV, 2009. 2, 6, 7
-
(2009)
ICCV
-
-
Yang, J.1
Li, Y.2
Tian, Y.3
Duan, L.4
Gao, W.5
-
32
-
-
80052886214
-
Image classification using super-vector coding of local image descriptors
-
7
-
X. Zhou, K. Yu, T. Zhang, and T. S. Huang. Image classification using super-vector coding of local image descriptors. In ECCV, 2010. 7
-
(2010)
ECCV
-
-
Zhou, X.1
Yu, K.2
Zhang, T.3
Huang, T.S.4
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