-
1
-
-
31844446681
-
Predictive low-rank decomposition for kernel methods
-
2
-
F. Bach and M. I. Jordan. Predictive low-rank decomposition for kernel methods. In ICML, 2005. 2
-
(2005)
ICML
-
-
Bach, F.1
Jordan, M.I.2
-
3
-
-
78149331496
-
Efficient match kernels between sets of features for visual recognition
-
2
-
L. Bo and C. Sminchisescu. Efficient match kernels between sets of features for visual recognition. In NIPS, 2009. 2
-
(2009)
NIPS
-
-
Bo, L.1
Sminchisescu, C.2
-
5
-
-
85011514513
-
Monte Carlo and quasi-Monte Carlo methods
-
4
-
R. Caflisch. Monte Carlo and quasi-Monte Carlo Methods. Acta Mumerica, 7:1-49, 1998. 4
-
(1998)
Acta Mumerica
, vol.7
, pp. 1-49
-
-
Caflisch, R.1
-
6
-
-
84861335519
-
Object recognition by sequential figure-ground ranking
-
1, 6
-
J. Carreira, F. Li, and C. Sminchisescu. Object recognition by sequential figure-ground ranking. IJCV, 98, 2012. 1, 6
-
(2012)
IJCV
, vol.98
-
-
Carreira, J.1
Li, F.2
Sminchisescu, C.3
-
7
-
-
77956008665
-
Constrained parametric min cuts for automatic object segmentation
-
6
-
J. Carreira and C. Sminchisescu. Constrained parametric min cuts for automatic object segmentation. In CVPR, 2010. 6
-
(2010)
CVPR
-
-
Carreira, J.1
Sminchisescu, C.2
-
8
-
-
84866646669
-
Constrained parametric min-cuts for automatic object segmentation
-
6
-
J. Carreira and C. Sminchisescu. Constrained parametric min-cuts for automatic object segmentation. PAMI, 34, 2012. 6
-
(2012)
PAMI
, vol.34
-
-
Carreira, J.1
Sminchisescu, C.2
-
9
-
-
84898420173
-
The devil is in the details: An evaluation of recent feature encoding methods
-
2
-
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. 2
-
(2011)
BMVC
-
-
Chatfield, K.1
Lempitsky, V.2
Vedaldi, A.3
Zisserman, A.4
-
10
-
-
80052876786
-
What does classifying more than 10,000 image categories tell us?
-
7, 8
-
J. Deng, A. C. Berg, K. Li, and L. Fei-Fei. What does classifying more than 10,000 image categories tell us? In ECCV, 2010. 7, 8
-
(2010)
ECCV
-
-
Deng, J.1
Berg, A.C.2
Li, K.3
Fei-Fei, L.4
-
11
-
-
85198028989
-
Imagenet: A large-scale hierarchical image database
-
2, 5
-
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. 2, 5
-
(2009)
CVPR
-
-
Deng, J.1
Dong, W.2
Socher, R.3
Li, L.-J.4
Li, K.5
Fei- Fei, L.6
-
12
-
-
29244453931
-
On the Nyström method for approximating a gram matrix for improved Kernel-based learning
-
2
-
P. Drineas and M. Mahoney. On the Nyström Method for Approximating a Gram Matrix for Improved Kernel-Based Learning. JMLR, 6:2153-2175, 2005. 2
-
(2005)
JMLR
, vol.6
, pp. 2153-2175
-
-
Drineas, P.1
Mahoney, M.2
-
13
-
-
77951298115
-
The pascal visual object classes (voc) challenge
-
5
-
M. Everingham, L. V. Gool, C. Williams, J. Winn, and A. Zisserman. The pascal visual object classes (voc) challenge. IJCV, 88:303-338, 2010. 5
-
(2010)
IJCV
, vol.88
, pp. 303-338
-
-
Everingham, M.1
Gool, L.V.2
Williams, C.3
Winn, J.4
Zisserman, A.5
-
14
-
-
0041494125
-
Efficient svm training using lowrank kernel representation
-
2
-
S. Fine and K. Scheinberg. Efficient svm training using lowrank kernel representation. JMLR, 2:243-264, 2001. 2
-
(2001)
JMLR
, vol.2
, pp. 243-264
-
-
Fine, S.1
Scheinberg, K.2
-
15
-
-
85067032737
-
On feature combination for multiclass object classification
-
4
-
P. V. Gehler and S. Nowozin. On feature combination for multiclass object classification. In ICCV, 2009. 4
-
(2009)
ICCV
-
-
Gehler, P.V.1
Nowozin, S.2
-
16
-
-
84864036295
-
Efficient sparse coding algorithms
-
2
-
H. Lee, A. Battle, R. Raina, and A. Y. Ng. Efficient sparse coding algorithms. In NIPS, pages 801-808, 2007. 2
-
(2007)
NIPS
, pp. 801-808
-
-
Lee, H.1
Battle, A.2
Raina, R.3
Ng, A.Y.4
-
17
-
-
71149119164
-
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
-
2
-
H. Lee, R. Grosse, R. Ranganath, and A. Y. Ng. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations. In ICML, 2009. 2
-
(2009)
ICML
-
-
Lee, H.1
Grosse, R.2
Ranganath, R.3
Ng, A.Y.4
-
18
-
-
77955990360
-
Object recognition as ranking holistic figure-ground hypotheses
-
6
-
F. Li, J. Carreira, and C. Sminchisescu. Object recognition as ranking holistic figure-ground hypotheses. In CVPR, 2010. 6
-
(2010)
CVPR
-
-
Li, F.1
Carreira, J.2
Sminchisescu, C.3
-
19
-
-
84860611691
-
Random Fourier approximations for skewed multiplicative histogram kernels
-
1, 6
-
F. Li, C. Ionescu, and C. Sminchisescu. Random Fourier approximations for skewed multiplicative histogram kernels. In DAGM, 2010. 1, 6
-
(2010)
DAGM
-
-
Li, F.1
Ionescu, C.2
Sminchisescu, C.3
-
20
-
-
84866713192
-
-
Technical report, Computational Science and Engineering, Georgia Institute of Technology and Institute for Numerical Simulation, University of Bonn, June. 2, 3
-
F. Li, G. Lebanon, and C. Sminchisescu. The Chebyshev Approximation for the Histogram 2 Kernel and Principal Components of Fourier Features. Technical report, Computational Science and Engineering, Georgia Institute of Technology and Institute for Numerical Simulation, University of Bonn, June 2012. 2, 3
-
(2012)
The Chebyshev Approximation for the Histogram 2 Kernel and Principal Components of Fourier Features
-
-
Li, F.1
Lebanon, G.2
Sminchisescu, C.3
-
21
-
-
80052870284
-
Large-scale image classification: Fast feature extraction and svm training
-
2, 6
-
Y. Lin, F. Lv, S. Zhu, M. Yang, T. Cour, K. Yu, L. Cao, and T. S. Huang. Large-scale image classification: Fast feature extraction and svm training. In CVPR, 2011. 2, 6
-
(2011)
CVPR
-
-
Lin, Y.1
Lv, F.2
Zhu, S.3
Yang, M.4
Cour, T.5
Yu, K.6
Cao, L.7
Huang, T.S.8
-
22
-
-
80052908750
-
A coarse-to-fine approach for fast deformable object detection
-
1
-
M. Pedersoli, A. Vedaldi, and J. Gonzalez. A coarse-to-fine approach for fast deformable object detection. In CVPR, 2011. 1
-
(2011)
CVPR
-
-
Pedersoli, M.1
Vedaldi, A.2
Gonzalez, J.3
-
23
-
-
79959771606
-
Improving the fisher kernel for large-scale image classification
-
2
-
F. Perronnin, J. Sánchez, and T. Mensink. Improving the fisher kernel for large-scale image classification. In ECCV, 2010. 2
-
(2010)
ECCV
-
-
Perronnin, F.1
Sánchez, J.2
Mensink, T.3
-
24
-
-
70350496912
-
Principal component analysis for dimension reduction in massive distributed data sets
-
4
-
Y. Qu, G. Ostrouchov, N. Samatova, and A. Geist. Principal component analysis for dimension reduction in massive distributed data sets. In ICDM, 2002. 4
-
(2002)
ICDM
-
-
Qu, Y.1
Ostrouchov, G.2
Samatova, N.3
Geist, A.4
-
25
-
-
77953218689
-
Random features for large-scale kernel machines
-
1, 2, 3
-
A. Rahimi and B. Recht. Random features for large-scale kernel machines. In NIPS, 2007. 1, 2, 3
-
(2007)
NIPS
-
-
Rahimi, A.1
Recht, B.2
-
26
-
-
84898407813
-
Generalized rbf feature maps for efficient detection
-
1, 3
-
V. Sreekanth, A. Vedaldi, C. V. Jawahar, and A. Zisserman. Generalized rbf feature maps for efficient detection. In BMVC, 2010. 1, 3
-
(2010)
BMVC
-
-
Sreekanth, V.1
Vedaldi, A.2
Jawahar, C.V.3
Zisserman, A.4
-
27
-
-
77955989063
-
Efficient additive kernels via explicit feature maps
-
1
-
A. Vedaldi and A. Zisserman. Efficient additive kernels via explicit feature maps. In CVPR, 2010. 1
-
(2010)
CVPR
-
-
Vedaldi, A.1
Zisserman, A.2
-
28
-
-
84856194352
-
Efficient additive kernels via explicit feature maps
-
1, 2, 6
-
A. Vedaldi and A. Zisserman. Efficient additive kernels via explicit feature maps. PAMI, 34:480-492, 2012. 1, 2, 6
-
(2012)
PAMI
, vol.34
, pp. 480-492
-
-
Vedaldi, A.1
Zisserman, A.2
-
29
-
-
77955996870
-
Locality-constrained linear coding for image classification
-
2
-
J. Wang, J. Yang, K. Yu, F. Lv, T. Huang, and Y. Gong. Locality-constrained linear coding for image classification. In CVPR, 2010. 2
-
(2010)
CVPR
-
-
Wang, J.1
Yang, J.2
Yu, K.3
Lv, F.4
Huang, T.5
Gong, Y.6
-
30
-
-
84899010839
-
Using the Nyström method to speed up Kernel machines
-
2, 6
-
C. K. I.Williams and M. Seeger. Using the Nyström Method to Speed Up Kernel Machines. In NIPS, 2001. 2, 6
-
(2001)
NIPS
-
-
Williams, C.K.I.1
Seeger, M.2
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