-
1
-
-
14344252374
-
Multiple kernel learning, conic duality, and the SMO algorithm
-
F. Bach, G. Lanckriet, and M. I. Jordan. Multiple kernel learning, conic duality, and the SMO algorithm. In ICML, 2004.
-
(2004)
ICML
-
-
Bach, F.1
Lanckriet, G.2
Jordan, M.I.3
-
2
-
-
0345134164
-
Histogram intersection kernel for image classification
-
A. Barla, F. Odone, and A. Verri. Histogram intersection kernel for image classification. In ICIP, 2003.
-
(2003)
ICIP
-
-
Barla, A.1
Odone, F.2
Verri, A.3
-
3
-
-
77956005450
-
Learning weights for codebook in image classification and retrieval
-
H. Cai, F. Yan, and K. Mikolajczyk. Learning weights for codebook in image classification and retrieval. In CVPR, 2010.
-
(2010)
CVPR
-
-
Cai, H.1
Yan, F.2
Mikolajczyk, K.3
-
5
-
-
0036161011
-
Choosing multiple parameters for support vector machines
-
O. Chapelle, V. Vapnik, O. Bousquet, and S. Mukherjee. Choosing multiple parameters for support vector machines. Machine Learning, 46, 2002.
-
(2002)
Machine Learning
, vol.46
-
-
Chapelle, O.1
Vapnik, V.2
Bousquet, O.3
Mukherjee, S.4
-
6
-
-
70450173435
-
Histograms of oriented optical flow and Binet-Cauchy kernels on nonlinear dynamical systems for the recognition of human actions
-
R. Chaudhry, A. Ravichandran, G. Hager, and R. Vidal. Histograms of oriented optical flow and Binet-Cauchy kernels on nonlinear dynamical systems for the recognition of human actions. In CVPR, 2009.
-
(2009)
CVPR
-
-
Chaudhry, R.1
Ravichandran, A.2
Hager, G.3
Vidal, R.4
-
7
-
-
51949118036
-
Information-theoretic metric learning
-
J. V. Davis, B. Kulis, P. Jain, S. Sra, and I. S. Dhillon. Information-theoretic metric learning. In ICML, 2007.
-
(2007)
ICML
-
-
Davis, J.V.1
Kulis, B.2
Jain, P.3
Sra, S.4
Dhillon, I.S.5
-
8
-
-
29644438050
-
Statistical comparison of classifiers over multiple data sets
-
J. Demŝar. Statistical comparison of classifiers over multiple data sets. JMLR, 7, 2007.
-
(2007)
JMLR
, vol.7
-
-
Demŝar, J.1
-
9
-
-
33745155436
-
A Bayesian hierarchical model for learning natural scene categories
-
L. Fei-Fei and P. Perona. A Bayesian hierarchical model for learning natural scene categories. In CVPR, 2005.
-
(2005)
CVPR
-
-
Fei-Fei, L.1
Perona, P.2
-
10
-
-
70450161376
-
Let the kernel figure it out: Principled learning of pre-processing for kernel classifiers
-
P. V. Gehler and S. Nowozin. Let the kernel figure it out: Principled learning of pre-processing for kernel classifiers. In CVPR, 2009.
-
(2009)
CVPR
-
-
Gehler, P.V.1
Nowozin, S.2
-
11
-
-
77953812676
-
Maximum likelihood model selection for 1-norm soft margin SVMs with multiple parameters
-
T. Glasmachers and C. Igel. Maximum likelihood model selection for 1-norm soft margin SVMs with multiple parameters. PAMI, 32(8), 2010.
-
(2010)
PAMI
, vol.32
, Issue.8
-
-
Glasmachers, T.1
Igel, C.2
-
12
-
-
0029342765
-
Efficient color histogram indexing for quadratic form distance functions
-
J. Hafner, H. S. Sawhney, W. Equitz, M. Flickner, and W. Niblack. Efficient color histogram indexing for quadratic form distance functions. PAMI, 17(7), 1995.
-
(1995)
PAMI
, vol.17
, pp. 7
-
-
Hafner, J.1
Sawhney, H.S.2
Equitz, W.3
Flickner, M.4
Niblack, W.5
-
15
-
-
0037238922
-
Empirical evaluation of the improved Rprop learning algorithms
-
C. Igel and M. Husken. Empirical evaluation of the improved Rprop learning algorithms. Neurocomputing, 50, 2003.
-
(2003)
Neurocomputing
, vol.50
-
-
Igel, C.1
Husken, M.2
-
16
-
-
85099444416
-
An efficient method for gradient-based adaptation of hyperparameters in SVM models
-
S. Keerthi, V. Sindhwani, and O. Chapelle. An efficient method for gradient-based adaptation of hyperparameters in SVM models. In NIPS, 2006.
-
(2006)
NIPS
-
-
Keerthi, S.1
Sindhwani, V.2
Chapelle, O.3
-
17
-
-
77955993558
-
Learning a hierarchy of discriminative space-time neighborhood features for human action recognition
-
A. Kovashka and K. Grauman. Learning a hierarchy of discriminative space-time neighborhood features for human action recognition. In CVPR, 2010.
-
(2010)
CVPR
-
-
Kovashka, A.1
Grauman, K.2
-
18
-
-
21844459752
-
Diffusion kernels on statistical manifolds
-
J. Lafferty and G. Lebanon. Diffusion kernels on statistical manifolds. JLMR, 6, 2005.
-
(2005)
JLMR
, vol.6
-
-
Lafferty, J.1
Lebanon, G.2
-
19
-
-
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
-
20
-
-
33144478661
-
Metric learning for text documents
-
G. Lebanon. Metric learning for text documents. PAMI, 28(4), 2006.
-
(2006)
PAMI
, vol.28
, pp. 4
-
-
Lebanon, G.1
-
22
-
-
77955993034
-
Action classification on product manifolds
-
Y. M. Lui, J. R. Beveridge, and M. Kirby. Action classification on product manifolds. In CVPR, 2010.
-
(2010)
CVPR
-
-
Lui, Y.M.1
Beveridge, J.R.2
Kirby, M.3
-
23
-
-
51949098112
-
Classification using intersection kernel support vector machines is efficient
-
S. Maji, A. C. Berg, and J. Malik. Classification using intersection kernel support vector machines is efficient. In CVPR, 2008.
-
(2008)
CVPR
-
-
Maji, S.1
Berg, A.C.2
Malik, J.3
-
24
-
-
79960452698
-
The quadratic-chi histogram distance family
-
O. Pele and M. Werman. The quadratic-chi histogram distance family. In ECCV, 2010.
-
(2010)
ECCV
-
-
Pele, O.1
Werman, M.2
-
25
-
-
34948903793
-
Object retrieval with large vocabularies and fast spatial matching
-
J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman. Object retrieval with large vocabularies and fast spatial matching. In CVPR, 2007.
-
(2007)
CVPR
-
-
Philbin, J.1
Chum, O.2
Isard, M.3
Sivic, J.4
Zisserman, A.5
-
26
-
-
0003243224
-
Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods
-
MIT Press
-
J. C. Platt. Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods. In Advances In Large Margin Classifiers, pages 61-74. MIT Press, 1999.
-
(1999)
Advances In Large Margin Classifiers
, pp. 61-74
-
-
Platt, J.C.1
-
27
-
-
51949084792
-
Action MACH: A spatiotemporal maximum average correlation height filter for action recognition
-
M. D. Rodriguez, J. Ahmed, and M. Shah. Action MACH: A spatiotemporal maximum average correlation height filter for action recognition. In CVPR, 2008.
-
(2008)
CVPR
-
-
Rodriguez, M.D.1
Ahmed, J.2
Shah, M.3
-
28
-
-
0034313871
-
The Earth Mover's Distance as a metric for image retrieval
-
Y. Rubner, C. Tomasi, and L. Guibas. The Earth Mover's Distance as a metric for image retrieval. IJCV, 40(2), 2000.
-
(2000)
IJCV
, vol.40
, pp. 2
-
-
Rubner, Y.1
Tomasi, C.2
Guibas, L.3
-
29
-
-
10044233701
-
Recognizing human actions: A local SVM approach
-
C. Schuldt, I. Laptev, and B. Caputo. Recognizing human actions: A local SVM approach. In ICPR, 2004.
-
(2004)
ICPR
-
-
Schuldt, C.1
Laptev, I.2
Caputo, B.3
-
30
-
-
84898997673
-
Learning a distance metric from relative comparisons
-
M. Schultz and T. Joachims. Learning a distance metric from relative comparisons. In NIPS, 2004.
-
(2004)
NIPS
-
-
Schultz, M.1
Joachims, T.2
-
31
-
-
77952671498
-
Visual word ambiguity
-
J. C. van Gemert, C. J. Veenman, A.W. Smeulders, and J.-M. Geusebroek. Visual word ambiguity. PAMI, 32(7), 2010.
-
(2010)
PAMI
, vol.32
, Issue.7
-
-
Van Gemert, J.C.1
Veenman, C.J.2
Smeulders, A.W.3
Geusebroek, J.-M.4
-
32
-
-
71149100224
-
More generality in efficient multiple kernel learning
-
M. Varma and B. R. Babu. More generality in efficient multiple kernel learning. In ICML, 2009.
-
(2009)
ICML
-
-
Varma, M.1
Babu, B.R.2
-
33
-
-
84889703300
-
Dirichlet aggregation: Unsupervised learning towards an optimal metric for proportional data
-
H.-Y. Wang, H. Zha, and H. Qin. Dirichlet aggregation: Unsupervised learning towards an optimal metric for proportional data. In ICML, 2007.
-
(2007)
ICML
-
-
Wang, H.-Y.1
Zha, H.2
Qin, H.3
-
34
-
-
56449127513
-
Fast solvers and efficient implementations for distance metric learning
-
K. Q. Weinberger and L. K. Saul. Fast solvers and efficient implementations for distance metric learning. In ICML, 2008.
-
(2008)
ICML
-
-
Weinberger, K.Q.1
Saul, L.K.2
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