-
1
-
-
33645146449
-
Histograms of oriented gradients for human detection
-
Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: CVPR (2005)
-
(2005)
CVPR
-
-
Dalal, N.1
Triggs, B.2
-
2
-
-
54249120983
-
A performance evaluation of single and multi-feature people detection
-
Rigoll, G. (ed.) DAGM 2008. Springer, Heidelberg
-
Wojek, C., Schiele, B.: A performance evaluation of single and multi-feature people detection. In: Rigoll, G. (ed.) DAGM 2008. LNCS, vol. 5096, pp. 82-91. Springer, Heidelberg (2008)
-
(2008)
LNCS
, vol.5096
, pp. 82-91
-
-
Wojek, C.1
Schiele, B.2
-
3
-
-
34948852777
-
Feature mining for image classification
-
Dollár, P., Tu, Z., Tao, H., Belongie, S.: Feature mining for image classification. In: CVPR (2007)
-
(2007)
CVPR
-
-
Dollár, P.1
Tu, Z.2
Tao, H.3
Belongie, S.4
-
4
-
-
51949101231
-
A discriminatively trained, multiscale, deformable part model
-
Felzenszwalb, P., McAllester, D., Ramanan, D.: A discriminatively trained, multiscale, deformable part model. In: CVPR (2008)
-
(2008)
CVPR
-
-
Felzenszwalb, P.1
McAllester, D.2
Ramanan, D.3
-
5
-
-
51949098112
-
Classification using intersection kernel support vector machines is efficient
-
Maji, S., Berg, A.C., Malik, J.: Classification using intersection kernel support vector machines is efficient. In: CVPR (2008)
-
(2008)
CVPR
-
-
Maji, S.1
Berg, A.C.2
Malik, J.3
-
6
-
-
85015879350
-
Human detection using partial least squares analysis
-
Schwartz, W., Kembhavi, A., Harwood, D., Davis, L.: Human detection using partial least squares analysis. In: ICCV (2009)
-
(2009)
ICCV
-
-
Schwartz, W.1
Kembhavi, A.2
Harwood, D.3
Davis, L.4
-
7
-
-
70450202512
-
Pedestrian detection: A benchmark
-
Dollár, P., Wojek, C., Schiele, B., Perona, P.: Pedestrian detection: A benchmark. In: CVPR (2009)
-
(2009)
CVPR
-
-
Dollár, P.1
Wojek, C.2
Schiele, B.3
Perona, P.4
-
8
-
-
77953196456
-
Multiple kernels for object detection
-
Vedaldi, A., Gulshan, V., Varma, M., Zisserman, A.: Multiple kernels for object detection. In: ICCV (2009)
-
(2009)
ICCV
-
-
Vedaldi, A.1
Gulshan, V.2
Varma, M.3
Zisserman, A.4
-
9
-
-
3042535216
-
Distinctive image features from scale-invariant keypoints
-
Lowe, D.G.: Distinctive image features from scale-invariant keypoints. IJCV 60, 91-110 (2004)
-
(2004)
IJCV
, vol.60
, pp. 91-110
-
-
Lowe, D.G.1
-
10
-
-
0015680481
-
Texture features for image classification
-
Haralick, R., Shanmugam, K., Dinstein, I.: Texture features for image classification. IEEE Transactions on Systems,Man, and Cybernetics 3(6) (1973)
-
(1973)
IEEE Transactions on Systems,Man, and Cybernetics
, vol.3
, Issue.6
-
-
Haralick, R.1
Shanmugam, K.2
Dinstein, I.3
-
11
-
-
84898842272
-
Integral channel features
-
Dollar, P., Tu, Z., Perona, P., Belongie, S.: Integral channel features. In: BMVC (2009)
-
(2009)
BMVC
-
-
Dollar, P.1
Tu, Z.2
Perona, P.3
Belongie, S.4
-
13
-
-
0029679044
-
Reinforcement learning: A survey
-
Kaelbling, L.P., Littman, M.L., Moore, A.W.: Reinforcement learning: A survey. Journal of Artificial Intelligence Research 4, 237-285 (1996)
-
(1996)
Journal of Artificial Intelligence Research
, vol.4
, pp. 237-285
-
-
Kaelbling, L.P.1
Littman, M.L.2
Moore, A.W.3
-
14
-
-
84957588617
-
A fragment-based approach to object representation and classification
-
Arcelli, C., Cordella, L.P., Sanniti di Baja, G. (eds.) IWVF 2001. Springer, Heidelberg
-
Ullman, S., Sali, E., Vidal-Naquet, M.: A fragment-based approach to object representation and classification. In: Arcelli, C., Cordella, L.P., Sanniti di Baja, G. (eds.) IWVF 2001. LNCS, vol. 2059, p. 85. Springer, Heidelberg (2001)
-
(2001)
LNCS
, vol.2059
, pp. 85
-
-
Ullman, S.1
Sali, E.2
Vidal-Naquet, M.3
-
15
-
-
78149322456
-
Object recognition with informative features and linear classification
-
Vidal-Naquet, M., Ullman, S.: Object recognition with informative features and linear classification. In: ICCV
-
ICCV
-
-
Vidal-Naquet, M.1
Ullman, S.2
-
16
-
-
0036161259
-
Gene selection for cancer classification using support vector machines
-
Guyon, I., Weston, J., Barnhill, S., Vapnik, V.: Gene selection for cancer classification using support vector machines. Machine Learning 46 (2002)
-
(2002)
Machine Learning
, vol.46
-
-
Guyon, I.1
Weston, J.2
Barnhill, S.3
Vapnik, V.4
-
17
-
-
0033281701
-
Improved boosting using confidence-rated predictions
-
Schapire, R.E., Singer, Y.: Improved boosting using confidence-rated predictions. Machine Learning 37, 297-336 (1999)
-
(1999)
Machine Learning
, vol.37
, pp. 297-336
-
-
Schapire, R.E.1
Singer, Y.2
-
18
-
-
12244300139
-
Column-generation boosting methods for mixture of kernels
-
Bi, J., Zhang, T., Bennett, K.P.: Column-generation boosting methods for mixture of kernels. In: KDD (2004)
-
(2004)
KDD
-
-
Bi, J.1
Zhang, T.2
Bennett, K.P.3
-
19
-
-
0041940256
-
Object class recognition by unsupervised scale invariant learning
-
Fergus, R., Perona, P., Zisserman, A.: Object class recognition by unsupervised scale invariant learning. In: CVPR (2003)
-
(2003)
CVPR
-
-
Fergus, R.1
Perona, P.2
Zisserman, A.3
-
20
-
-
56749096311
-
Unsupervised classification and part localization by consistency amplification
-
Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part II. Springer, Heidelberg
-
Karlinsky, L., Dinerstein, M., Levi, D., Ullman, S.: Unsupervised classification and part localization by consistency amplification. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part II. LNCS, vol. 5303, pp. 321-335. Springer, Heidelberg (2008)
-
(2008)
LNCS
, vol.5303
, pp. 321-335
-
-
Karlinsky, L.1
Dinerstein, M.2
Levi, D.3
Ullman, S.4
-
21
-
-
39749094395
-
Efficient learning of relational object class models
-
Bar-Hillel, A., Weinshall, D.: Efficient learning of relational object class models. IJCV (2008)
-
(2008)
IJCV
-
-
Bar-Hillel, A.1
Weinshall, D.2
-
22
-
-
0021436749
-
Objects, parts, and categories
-
Tversky,B., Hemenway,K.: Objects, parts, and categories. Journal of Experimental Psychology: General 113(2), 169-197 (1984)
-
(1984)
Journal of Experimental Psychology: General
, vol.113
, Issue.2
, pp. 169-197
-
-
Hemenway, K.1
-
23
-
-
33745938597
-
Discovering objects and their location in images
-
Sivic, J., Russell, B.C., Efros, A.A., Zisserman, A., Freeman, W.T.: Discovering objects and their location in images. In: ICCV, vol. 1 (2005)
-
(2005)
ICCV
, vol.1
-
-
Sivic, J.1
Russell, B.C.2
Efros, A.A.3
Zisserman, A.4
Freeman, W.T.5
-
24
-
-
51949088207
-
Visual classification by a hierarchy of extended fragments
-
Ponce, J., Hebert, M., Schmid, C., Zisserman, A. (eds.) Toward Category-Level Object Recognition. Springer, Heidelberg
-
Ullman, S., Epshtein, B.: Visual classification by a hierarchy of extended fragments. In: Ponce, J., Hebert, M., Schmid, C., Zisserman, A. (eds.) Toward Category-Level Object Recognition. LNCS, vol. 4170, pp. 321-344. Springer, Heidelberg (2006)
-
(2006)
LNCS
, vol.4170
, pp. 321-344
-
-
Ullman, S.1
Epshtein, B.2
-
26
-
-
10444280144
-
An extensive comparison of recent classification tools applied to microarray data
-
Lee, J.W., Lee, J.B., Park, M., Sonq, S.H.: An extensive comparison of recent classification tools applied to microarray data. Computational statistics and Data Analysis 48(4), 869-885 (2005)
-
(2005)
Computational Statistics and Data Analysis
, vol.48
, Issue.4
, pp. 869-885
-
-
Lee, J.W.1
Lee, J.B.2
Park, M.3
Sonq, S.H.4
-
27
-
-
84890447445
-
Variable selection using svm-based criteria
-
Rakotomamonjy, A.: Variable selection using svm-based criteria. JMLR, 1357-1370 (2003)
-
(2003)
JMLR
, pp. 1357-1370
-
-
Rakotomamonjy, A.1
-
28
-
-
84890520049
-
Use of the zero norm with linear models and kernel methods
-
Weston, J., Elisseeff, A., Schoelkopf, B., Tipping, M.: Use of the zero norm with linear models and kernel methods. JMLR 3, 1439-1461 (2003)
-
(2003)
JMLR
, vol.3
, pp. 1439-1461
-
-
Weston, J.1
Elisseeff, A.2
Schoelkopf, B.3
Tipping, M.4
-
29
-
-
1942418470
-
Grafting: Fast incremental feature selection by gradient descent in function space
-
Perkins, S., Lacker, K., Theiler, J.: Grafting: Fast incremental feature selection by gradient descent in function space. JMLR 3
-
JMLR
, vol.3
-
-
Perkins, S.1
Lacker, K.2
Theiler, J.3
-
31
-
-
33745882975
-
Improved feature selection algorithm based on svm and correlation
-
Xie, Z.X., Hu, Q.H., Yu, D.R.: Improved feature selection algorithm based on svm and correlation. In: NIPS, pp. 1373-1380 (2006)
-
(2006)
NIPS
, pp. 1373-1380
-
-
Xie, Z.X.1
Hu, Q.H.2
Yu, D.R.3
-
33
-
-
0003684449
-
-
Springer, Heidelberg
-
Hastie, T., Tibshirani, R., Friedman, J.: The Elements of Statistical Learning; Data mining, Inference and Prediction. Springer, Heidelberg (2001)
-
(2001)
The Elements of Statistical Learning; Data Mining, Inference and Prediction
-
-
Hastie, T.1
Tibshirani, R.2
Friedman, J.3
-
34
-
-
0001615258
-
Uniqueness of the svm solution
-
Burges, J., Crisp, D.: Uniqueness of the svm solution. In: NIPS (1999)
-
(1999)
NIPS
-
-
Burges, J.1
Crisp, D.2
-
36
-
-
0032203257
-
Gradient-based learning applied to document recognition
-
LeCun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. Proceedings of the IEEE 86, 2278-2324 (1998)
-
(1998)
Proceedings of the IEEE
, vol.86
, pp. 2278-2324
-
-
LeCun, Y.1
Bottou, L.2
Bengio, Y.3
Haffner, P.4
-
37
-
-
51749088353
-
Agnostic learning vs. prior knowledge challenge
-
Guyon, I., Saffari, A., Dror, G., Cawley, G.C.: Agnostic learning vs. prior knowledge challenge. In: IJCNN (2007)
-
(2007)
IJCNN
-
-
Guyon, I.1
Saffari, A.2
Dror, G.3
Cawley, G.C.4
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