-
2
-
-
33749257884
-
Inference with the universum
-
J. Weston, R. Collobert, F. Sinz, L. Bottou, and V. Vapnik, "Inference with the Universum," Proc. Int'l Conf. Machine Learning, pp. 1009-1016, 2006.
-
(2006)
Proc. Int'l Conf. Machine Learning
, pp. 1009-1016
-
-
Weston, J.1
Collobert, R.2
Sinz, F.3
Bottou, L.4
Vapnik, V.5
-
3
-
-
85162053956
-
An analysis of inference with the universum
-
MIT Press
-
F.H. Sinz, O. Chapelle, A. Agarwal, and B. Schölkopf, "An Analysis of Inference with the Universum," Advances in Neural Information Processing Systems, pp. 1369-1376, MIT Press, 2007.
-
(2007)
Advances in Neural Information Processing Systems
, pp. 1369-1376
-
-
Sinz, F.H.1
Chapelle, O.2
Agarwal, A.3
Schölkopf, B.4
-
4
-
-
52649111664
-
Semi-Supervised classification with the universum
-
D. Zhang, J. Wang, F. Wang, and C. Zhang, "Semi-Supervised Classification with the Universum," Proc. SIAM Int'l Conf. Data Mining, pp. 323-333, 2008.
-
(2008)
Proc. SIAM Int'l Conf. Data Mining
, pp. 323-333
-
-
Zhang, D.1
Wang, J.2
Wang, F.3
Zhang, C.4
-
5
-
-
69949160332
-
View-Invariant pose recognition using multilinear analysis and the universum
-
B. Peng, G. Qian, and Y. Ma, "View-Invariant Pose Recognition Using Multilinear Analysis and the Universum," Proc. Int'l Symp. Visual Computing, vol. 5359, pp. 581-591, 2008.
-
(2008)
Proc. Int'l Symp. Visual Computing
, vol.5359
, pp. 581-591
-
-
Peng, B.1
Qian, G.2
Ma, Y.3
-
6
-
-
68749110470
-
Recognizing body poses using multilinear analysis and semi-supervised learning
-
B. Peng, G. Qian, and Y. Ma, "Recognizing Body Poses Using Multilinear Analysis and Semi-Supervised Learning," Pattern Recognition Letters, vol. 30, no. 14, pp. 1289-1294, 2009.
-
(2009)
Pattern Recognition Letters
, vol.30
, Issue.14
, pp. 1289-1294
-
-
Peng, B.1
Qian, G.2
Ma, Y.3
-
7
-
-
56349103629
-
Gender classification of human faces using inference through contradictions
-
X. Bai and V. Cherkassky, "Gender Classification of Human Faces Using Inference through Contradictions," Proc. IEEE Int'l Joint Conf. Neural Networks, pp. 746-750, 2008.
-
(2008)
Proc.IEEE Int'l Joint Conf. Neural Networks
, pp. 746-750
-
-
Bai, X.1
Cherkassky, V.2
-
9
-
-
0033281701
-
Improved boosting algorithms using confidence-rated predictions
-
DOI 10.1023/A:1007614523901
-
R.E. Schapire and Y. Freund, "Improved Boosting Algorithms Using Confidence-Rated Predictions," Machine Learning, vol. 37, no. 3, pp. 297-336, Dec. 1999. (Pubitemid 32210620)
-
(1999)
Machine Learning
, vol.37
, Issue.3
, pp. 297-336
-
-
Schapire, R.E.1
Singer, Y.2
-
10
-
-
78049526892
-
On the dual formulation of boosting algorithms
-
Dec.
-
C. Shen and H. Li, "On the Dual Formulation of Boosting Algorithms," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 32, no. 12, pp. 2216-2231, Dec. 2010.
-
(2010)
IEEE Trans. Pattern Analysis and Machine Intelligence
, vol.32
, Issue.12
, pp. 2216-2231
-
-
Shen, C.1
Li, H.2
-
11
-
-
35248862907
-
An introduction to boosting and leveraging
-
Springer-Verlag
-
R. Meir and G. Rätsch, "An Introduction to Boosting and Leveraging," Advanced Lectures on Machine Learning, pp. 118-183, Springer-Verlag, 2003.
-
(2003)
Advanced Lectures on Machine Learning
, pp. 118-183
-
-
Meir, R.1
Rätsch, G.2
-
12
-
-
78149348865
-
LACBoost and fisherboost: Optimally building cascade classifiers
-
C. Shen, P. Wang, and H. Li, "LACBoost and FisherBoost: Optimally Building Cascade Classifiers," Proc. European Conf. Computer Vision, vol. 2, pp. 608-621, 2010.
-
(2010)
Proc. European Conf. Computer Vision
, vol.2
, pp. 608-621
-
-
Shen, C.1
Wang, P.2
Li, H.3
-
13
-
-
0035470889
-
Greedy function approximation: A gradient boosting machine
-
J.H. Friedman, "Greedy Function Approximation: A Gradient Boosting Machine," Annals of Statistics, vol. 29, no. 5, pp. 1189-1232, 2001. (Pubitemid 33405972)
-
(2001)
Annals of Statistics
, vol.29
, Issue.5
, pp. 1189-1232
-
-
Friedman, J.H.1
-
14
-
-
77950861838
-
Boosting through optimization of margin distributions
-
Apr.
-
C. Shen and H. Li, "Boosting through Optimization of Margin Distributions," IEEE Trans. Neural Networks, vol. 21, no. 4, pp. 659-666, Apr. 2010.
-
(2010)
IEEE Trans. Neural Networks
, vol.21
, Issue.4
, pp. 659-666
-
-
Shen, C.1
Li, H.2
-
15
-
-
0036161257
-
Linear programming boosting via column generation
-
DOI 10.1023/A:1012470815092
-
A. Demiriz, K. Bennett, and J. Shawe-Taylor, "Linear Programming Boosting via Column Generation," Machine Learning, vol. 46, no. 1-3, pp. 225-254, 2002. (Pubitemid 34129970)
-
(2002)
Machine Learning
, vol.46
, Issue.1-3
, pp. 225-254
-
-
Demiriz, A.1
Bennett, K.P.2
Shawe-Taylor, J.3
-
16
-
-
84898978212
-
Boosting algorithms as gradient descent
-
MIT Press
-
L. Mason, J. Baxter, P. Bartlett, and M. Frean, "Boosting Algorithms as Gradient Descent," Advances in Neural Information Processing Systems, pp. 512-518, MIT Press, 2000.
-
(2000)
Advances in Neural Information Processing Systems
, pp. 512-518
-
-
Mason, L.1
Baxter, J.2
Bartlett, P.3
Frean, M.4
-
17
-
-
0036643072
-
Logistic regression, AdaBoost and Bregman distances
-
DOI 10.1023/A:1013912006537
-
M. Collins, R.E. Schapire, and Y. Singer, "Logistic Regression, AdaBoost and Bregman Distances," Machine Learning, vol. 48, nos. 1-3, pp. 253-285, 2002. (Pubitemid 34247580)
-
(2002)
Machine Learning
, vol.48
, Issue.1-3
, pp. 253-285
-
-
Collins, M.1
Schapire, R.E.2
Singer, Y.3
-
18
-
-
0031345518
-
L-BFGS-B: Algorithm 778: L-BFGS-B, FORTRAN routines for large scale bound constrained optimization
-
C. Zhu, R.H. Byrd, and J. Nocedal, "L-BFGS-B: Algorithm 778: L-BFGS-B, FORTRAN Routines for Large Scale Bound Constrained Optimization," ACM Trans. Math. Software, vol. 23, no. 4, pp. 550-560, 1997.
-
(1997)
ACM Trans. Math. Software
, vol.23
, Issue.4
, pp. 550-560
-
-
Zhu, C.1
Byrd, R.H.2
Nocedal, J.3
-
19
-
-
79952059000
-
Fast and accurate digit classification
-
EECS Dept., Univ. of California, Berkeley, Nov.
-
S. Maji and J. Malik, "Fast and Accurate Digit Classification," Technical Report UCB/EECS-2009-159, EECS Dept., Univ. of California, Berkeley, Nov. 2009.
-
(2009)
Technical Report UCB/EECS-2009-159
-
-
Maji, S.1
Malik, J.2
-
20
-
-
10044233701
-
Recognizing human actions: A Local SVM approach
-
C. Schü ldt, I. Laptev, and B. Caputo, "Recognizing Human Actions: A Local SVM Approach," Proc. Int'l Conf. Pattern Recognition, vol. 3, pp. 32-36, 2004.
-
(2004)
Proc. Int'l Conf. Pattern Recognition
, vol.3
, pp. 32-36
-
-
Schüldt, C.1
Laptev, I.2
Caputo, B.3
-
21
-
-
24944451092
-
On space-time interest points
-
DOI 10.1007/s11263-005-1838-7
-
I. Laptev, "On Space-Time Interest Points," Int'l J. Computer Vision, vol. 64, nos. 2-3, pp. 107-123, Sept. 2005. (Pubitemid 41314645)
-
(2005)
International Journal of Computer Vision
, vol.64
, Issue.2-3
, pp. 107-123
-
-
Laptev, I.1
-
22
-
-
84899004693
-
Agglomerative information bottleneck
-
MIT Press
-
N. Slonim and N. Tishby, "Agglomerative Information Bottleneck," Advances in Neural Information Processing Systems, vol. 12, pp. 617-623, MIT Press, 1999.
-
(1999)
Advances in Neural Information Processing Systems
, vol.12
, pp. 617-623
-
-
Slonim, N.1
Tishby, N.2
|