-
3
-
-
84898420173
-
The devil is in the details: An evaluation of recent feature encoding methods
-
K. Chatfield, V. Lempitsky, A. Vedaldi, and A. Zisserman. The devil is in the details: an evaluation of recent feature encoding methods. In BMVC, 2010.
-
(2010)
BMVC
-
-
Chatfield, K.1
Lempitsky, V.2
Vedaldi, A.3
Zisserman, A.4
-
4
-
-
84887396870
-
Blessing of dimensionality: High-dimensional feature and its efficient compression for face verification
-
D. Chen, X. Cao, F. Wen, and J. Sun. Blessing of dimensionality: High-dimensional feature and its efficient compression for face verification. In CVPR, 2013.
-
(2013)
CVPR
-
-
Chen, D.1
Cao, X.2
Wen, F.3
Sun, J.4
-
5
-
-
85198028989
-
ImageNet: A large-scale hierarchical image database
-
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei. ImageNet: A Large-Scale Hierarchical Image Database. In CVPR, 2009.
-
(2009)
CVPR
-
-
Deng, J.1
Dong, W.2
Socher, R.3
Li, L.-J.4
Li, K.5
Fei-Fei, L.6
-
7
-
-
33645690579
-
Fast binary feature selection with conditional mutual information
-
F. Fleuret. Fast binary feature selection with conditional mutual information. JMLR, 5:1531-1555, 2004.
-
(2004)
JMLR
, vol.5
, pp. 1531-1555
-
-
Fleuret, F.1
-
8
-
-
84856654322
-
Discriminative learning of relaxed hierarchy for large-scale visual recognition
-
T. Gao and D. Koller. Discriminative learning of relaxed hierarchy for large-scale visual recognition. In ICCV, 2011.
-
(2011)
ICCV
-
-
Gao, T.1
Koller, D.2
-
9
-
-
84887348338
-
Optimized product quantization for approximate nearest neighbor search
-
T. Ge, K. He, Q. Ke, and J. Sun. Optimized product quantization for approximate nearest neighbor search. In CVPR, 2013.
-
(2013)
CVPR
-
-
Ge, T.1
He, K.2
Ke, Q.3
Sun, J.4
-
10
-
-
84887391600
-
Learning binary codes for high-dimensional data using bilinear projections
-
Y. Gong, S. Kumar, H. A. Rowley, and S. Lazebnik. Learning binary codes for high-dimensional data using bilinear projections. In CVPR, 2013.
-
(2013)
CVPR
-
-
Gong, Y.1
Kumar, S.2
Rowley, H.A.3
Lazebnik, S.4
-
11
-
-
80052874105
-
Iterative quantization: A procrustean approach to learning binary codes
-
Y. Gong and S. Lazebnik. Iterative quantization: A procrustean approach to learning binary codes. In CVPR, 2011.
-
(2011)
CVPR
-
-
Gong, Y.1
Lazebnik, S.2
-
12
-
-
78649317568
-
Product quantization for nearest neighbor search
-
H. Jégou, M. Douze, and C. Schmid. Product quantization for nearest neighbor search. IEEE Transactions on PAMI, 33(1):117-128, 2011.
-
(2011)
IEEE Transactions on PAMI
, vol.33
, Issue.1
, pp. 117-128
-
-
Jégou, H.1
Douze, M.2
Schmid, C.3
-
13
-
-
77956004473
-
Aggregating local descriptors into a compact image representation
-
H. Jégou, M. Douze, C. Schmid, and P. Perez. Aggregating local descriptors into a compact image representation. In CVPR, 2010.
-
(2010)
CVPR
-
-
Jégou, H.1
Douze, M.2
Schmid, C.3
Perez, P.4
-
14
-
-
84865584175
-
Aggregating local image descriptors into compact codes
-
H. Jégou, F. Perronnin, M. Douze, J. Sanchez, P. Perez, and C. Schmid. Aggregating local image descriptors into compact codes. IEEE Transactions on PAMI, 34(9):1704-1716, 2011.
-
(2011)
IEEE Transactions on PAMI
, vol.34
, Issue.9
, pp. 1704-1716
-
-
Jégou, H.1
Perronnin, F.2
Douze, M.3
Sanchez, J.4
Perez, P.5
Schmid, C.6
-
15
-
-
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 CVPR, 2006.
-
(2006)
CVPR
-
-
Lazebnik, S.1
Schmid, C.2
Ponce, J.3
-
16
-
-
80052870284
-
Large-scale image classification: Fast feature extraction and SVM training
-
Y. Lin, F. Lv, S. Zhu, M. Yang, T. Cour, and K. Yu. Large-scale image classification: Fast feature extraction and SVM training. In CVPR, 2011.
-
(2011)
CVPR
-
-
Lin, Y.1
Lv, F.2
Zhu, S.3
Yang, M.4
Cour, T.5
Yu, K.6
-
18
-
-
24344458137
-
Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and min-redundancy
-
H. Peng, F. Long, and C. Ding. Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and min-redundancy. IEEE Transactions on PAMI, 27(8):1226-1238, 2005.
-
(2005)
IEEE Transactions on PAMI
, vol.27
, Issue.8
, pp. 1226-1238
-
-
Peng, H.1
Long, F.2
Ding, C.3
-
19
-
-
84866652997
-
Towards good practice in large-scale learning for image classification
-
F. Perronnin, Z. Akata, Z. Harchaoui, and C. Schmid. Towards good practice in large-scale learning for image classification. In CVPR, 2012.
-
(2012)
CVPR
-
-
Perronnin, F.1
Akata, Z.2
Harchaoui, Z.3
Schmid, C.4
-
20
-
-
34948815101
-
Fisher kernels on visual vocabularies for image categorization
-
F. Perronnin and C. Dance. Fisher kernels on visual vocabularies for image categorization. In CVPR, pages 1-8, 2007.
-
(2007)
CVPR
, pp. 1-8
-
-
Perronnin, F.1
Dance, C.2
-
21
-
-
77955992063
-
Large-scale image retrieval with compressed fisher vectors
-
F. Perronnin, Y. Liu, J. Sánchez, and H. Poirier. Large-scale image retrieval with compressed fisher vectors. In CVPR, 2010.
-
(2010)
CVPR
-
-
Perronnin, F.1
Liu, Y.2
Sánchez, J.3
Poirier, H.4
-
22
-
-
80052885179
-
High-dimensional signature compression for large-scale image classification
-
J. Sánchez and F. Perronnin. High-dimensional signature compression for large-scale image classification. In CVPR, pages 1665-1672, 2011.
-
(2011)
CVPR
, pp. 1665-1672
-
-
Sánchez, J.1
Perronnin, F.2
-
23
-
-
84883487458
-
Image classification with the fisher vector: Theory and practice
-
J. Sánchez, F. Perronnin, T. Mensink, and J. Verbeek. Image classification with the fisher vector: Theory and practice. IJCV, 105(3):222-245, 2013.
-
(2013)
IJCV
, vol.105
, Issue.3
, pp. 222-245
-
-
Sánchez, J.1
Perronnin, F.2
Mensink, T.3
Verbeek, J.4
-
25
-
-
77956551904
-
Learning sparse svm for feature selection on very high dimensional datasets
-
M. Tan, L. Wang, and I. W. Tsang. Learning sparse svm for feature selection on very high dimensional datasets. In ICML, 2010.
-
(2010)
ICML
-
-
Tan, M.1
Wang, L.2
Tsang, I.W.3
-
26
-
-
84866644207
-
Sparse kernel approximations for efficient classification and detection
-
A. Vedaldi and A. Zisserman. Sparse kernel approximations for efficient classification and detection. In CVPR, 2012.
-
(2012)
CVPR
-
-
Vedaldi, A.1
Zisserman, A.2
-
28
-
-
77955988947
-
SUN database: Large-scale scene recognition from abbey to zoo
-
J. Xiao, J. Hays, K. A. Ehinger, A. Oliva, and A. Torralba. SUN database: Large-scale scene recognition from abbey to zoo. In CVPR, 2010.
-
(2010)
CVPR
-
-
Xiao, J.1
Hays, J.2
Ehinger, K.A.3
Oliva, A.4
Torralba, A.5
-
29
-
-
84865422696
-
Recent advances of large-scale linear classification
-
G.-X. Yuan, C.-H. Ho, and C.-J. Lin. Recent advances of large-scale linear classification. Proceedings of the IEEE, 100:2584-2603, 2012.
-
(2012)
Proceedings of the IEEE
, vol.100
, pp. 2584-2603
-
-
Yuan, G.-X.1
Ho, C.-H.2
Lin, C.-J.3
-
30
-
-
80052886214
-
Image classification using super-vector coding of local image descriptors
-
X. Zhou, K. Yu, T. Zhang, and T. S. Huang. Image classification using super-vector coding of local image descriptors. In ECCV, 2010.
-
(2010)
ECCV
-
-
Zhou, X.1
Yu, K.2
Zhang, T.3
Huang, T.S.4
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