-
1
-
-
27144489164
-
A tutorial on support vector machines for pattern recognition
-
C. Burges A tutorial on support vector machines for pattern recognition Data Min. Knowl. Discovery 2 1998 121 167 (Pubitemid 128695475)
-
(1998)
Data Mining and Knowledge Discovery
, vol.2
, Issue.2
, pp. 121-167
-
-
Burges, C.J.C.1
-
6
-
-
84957069814
-
Text Categorization with Support Vector Machines: Learning with many Relevant Features
-
Machine Learning: ECML-98
-
T. Joachims, Text categorization with support vector machines: learning with many relevant features, Machine Learning: ECML-98, (1998), pp. 137142. (Pubitemid 128067178)
-
(1998)
Machine Learning: ECML-98
, Issue.1398
, pp. 137-142
-
-
Joachims, T.1
-
7
-
-
0242383062
-
Support vector machine regression in chemometrics
-
Washington, D.C
-
A. Demiriz, K.P. Bennett, C.M. Breneman, M.J. Embrechts, Support vector machine regression in chemometrics, in: Computing Science and Statistics, Proceedings of the 33rd Symposium on the Interface, American Statistical Association for the Interface Foundation of North America, Washington, D.C., 2001.
-
(2001)
Computing Science and Statistics, Proceedings of the 33rd Symposium on the Interface, American Statistical Association for the Interface Foundation of North America
-
-
Demiriz, A.1
Bennett, K.P.2
Breneman, C.M.3
Embrechts, M.J.4
-
8
-
-
0037381038
-
Support vector machines experts for time series forecasting
-
DOI 10.1016/S0925-2312(02)00577-5, PII S0925231202005775
-
L. Cao Support vector machines experts for time series forecasting Neurocomputing 51 2003 321 339 (Pubitemid 36367241)
-
(2003)
Neurocomputing
, vol.51
, pp. 321-339
-
-
Cao, L.1
-
10
-
-
0003120218
-
Fast training of support vector machines using sequential minimal optimization
-
J. Platt Fast training of support vector machines using sequential minimal optimization B. Schölkopf, C.J.C. Burges, A.J. Smola, Advances in Kernel Methods-Support Vector Learning 1999 MIT press Combridge, MA 185 208
-
(1999)
Advances in Kernel Methods-Support Vector Learning
, pp. 185-208
-
-
Platt, J.1
-
12
-
-
0000913324
-
SVMTorch: Support Vector Machines for large-scale regression problems
-
R. Collobert, and S. Bengio SVMTorch: support vector machines for large-scale regression problems J. Mach. Learn. Res. 1 2001 143 160 (Pubitemid 33738779)
-
(2001)
Journal of Machine Learning Research
, vol.1
, Issue.2
, pp. 143-160
-
-
Collobert, R.1
Bengio, S.2
-
14
-
-
0032638628
-
Least squares support vector machine classifiers
-
J. Suykens, and J. Vandewalle Least squares support vector machine classifiers Neural Process. Lett. 9 1999 293 300
-
(1999)
Neural Process. Lett.
, vol.9
, pp. 293-300
-
-
Suykens, J.1
Vandewalle, J.2
-
16
-
-
21244486307
-
Multicategory proximal support vector machine classifiers
-
DOI 10.1007/s10994-005-0463-6
-
G. Fung, and O. Mangasarian Multicategory proximal support vector machine classifiers Machine Learning 59 2005 77 97 (Pubitemid 40890413)
-
(2005)
Machine Learning
, vol.59
, Issue.1-2
, pp. 77-97
-
-
Fung, G.M.1
Mangasarian, O.L.2
-
19
-
-
48649097170
-
Application of smoothing technique on twin support vector machines
-
M. Kumar, and M. Gopal Application of smoothing technique on twin support vector machines Pattern Recognition Lett. 29 2008 1842 1848
-
(2008)
Pattern Recognition Lett.
, vol.29
, pp. 1842-1848
-
-
Kumar, M.1
Gopal, M.2
-
20
-
-
60249095678
-
Least squares twin support vector machines for pattern classification
-
M. Arun Kumar, and M. Gopal Least squares twin support vector machines for pattern classification Expert Syst. Appl. 36 2009 7535 7543
-
(2009)
Expert Syst. Appl.
, vol.36
, pp. 7535-7543
-
-
Arun Kumar, M.1
Gopal, M.2
-
22
-
-
77956058730
-
Multi-weight vector projection support vector machines
-
Q. Ye, C. Zhao, N. Ye, and Y. Chen Multi-weight vector projection support vector machines Pattern Recognition Lett. 31 13 2010 2006 2011
-
(2010)
Pattern Recognition Lett.
, vol.31
, Issue.13
, pp. 2006-2011
-
-
Ye, Q.1
Zhao, C.2
Ye, N.3
Chen, Y.4
-
23
-
-
39549116990
-
Recursive support vector machines for dimensionality reduction
-
DOI 10.1109/TNN.2007.908267
-
Q. Tao, D. Chu, and J. Wang Recursive support vector machines for dimensionality reduction IEEE Trans. Neural Networks 19 2008 189 193 (Pubitemid 351279237)
-
(2008)
IEEE Transactions on Neural Networks
, vol.19
, Issue.1
, pp. 189-193
-
-
Tao, Q.1
Chu, D.2
Wang, J.3
-
24
-
-
33746217741
-
Face recognition using recursive fisher linear discriminant
-
DOI 10.1109/TIP.2006.875225
-
C. Xiang, X. Fan, and T. Lee Face recognition using recursive Fisher linear discriminant IEEE Trans. Image Process. 15 8 2006 2097 2105 (Pubitemid 44089086)
-
(2006)
IEEE Transactions on Image Processing
, vol.15
, Issue.8
, pp. 2097-2105
-
-
Xiang, C.1
Fan, X.-A.2
Lee, T.H.3
-
27
-
-
77952551649
-
Quotient vs. difference: Comparison between the two discriminant criteria
-
Y. Tao, and J. Yang Quotient vs. difference: comparison between the two discriminant criteria Neurocomputing 73 1012 2010 1808 1817
-
(2010)
Neurocomputing
, vol.73
, Issue.1012
, pp. 1808-1817
-
-
Tao, Y.1
Yang, J.2
-
28
-
-
33144458972
-
Efficient and robust feature extraction by maximum margin criterion
-
DOI 10.1109/TNN.2005.860852
-
H. Li, T. Jiang, and K. Zhang Efficient and robust feature extraction by maximum margin criterion IEEE Trans. Neural Networks 17 1 2006 157 165 (Pubitemid 43263948)
-
(2006)
IEEE Transactions on Neural Networks
, vol.17
, Issue.1
, pp. 157-165
-
-
Li, H.1
Jiang, T.2
Zhang, K.3
-
31
-
-
0003267619
-
Eigenfaces vs. fisherfaces: Recognition using class specific linear projection
-
P. Belhumeur, J. Hespanha, and D. Kriegman Eigenfaces vs. fisherfaces: recognition using class specific linear projection Computer Vision ECCV96 1996 43 58
-
(1996)
Computer Vision ECCV96
, pp. 43-58
-
-
Belhumeur, P.1
Hespanha, J.2
Kriegman, D.3
-
32
-
-
0036487285
-
Why can LDA be performed in PCA transformed space?
-
DOI 10.1016/S0031-3203(02)00048-1, PII S0031320302000481
-
J. Yang Why can LDA be performed in PCA transformed space? Pattern Recognition 36 2003 563 566 (Pubitemid 35212848)
-
(2002)
Pattern Recognition
, vol.36
, Issue.2
, pp. 563-566
-
-
Yang, J.1
Yang, J.-Y.2
-
33
-
-
58649122677
-
Novel multiclass classifiers based on the minimization of the within-class variance
-
I. Kotsia, S. Zafeiriou, and I. Pitas Novel multiclass classifiers based on the minimization of the within-class variance IEEE Trans. Neural Networks 20 2009 14 34
-
(2009)
IEEE Trans. Neural Networks
, vol.20
, pp. 14-34
-
-
Kotsia, I.1
Zafeiriou, S.2
Pitas, I.3
-
34
-
-
77951253318
-
On minimum class locality preserving variance support vector machine
-
X. Wang, F. Chung, and S. Wang On minimum class locality preserving variance support vector machine Pattern Recognition 43 8 2010 2753 2762
-
(2010)
Pattern Recognition
, vol.43
, Issue.8
, pp. 2753-2762
-
-
Wang, X.1
Chung, F.2
Wang, S.3
-
36
-
-
0035400784
-
Face recognition based on the uncorrelated discriminant transformation
-
DOI 10.1016/S0031-3203(00)00084-4, PII S0031320300000844
-
Z. Jin, J. Yang, Z. Hu, and Z. Lou Face recognition based on the uncorrelated discriminant transformation Pattern Recognition 34 2001 1405 1416 (Pubitemid 32424906)
-
(2001)
Pattern Recognition
, vol.34
, Issue.7
, pp. 1405-1416
-
-
Jin, Z.1
Yang, J.-Y.2
Hu, Z.-S.3
Lou, Z.4
-
37
-
-
51649109792
-
Discriminatively regularized least-squares classification
-
H. Xue, S. Chen, and Q. Yang Discriminatively regularized least-squares classification Pattern Recognition 42 2009 93 104
-
(2009)
Pattern Recognition
, vol.42
, pp. 93-104
-
-
Xue, H.1
Chen, S.2
Yang, Q.3
-
38
-
-
0003408420
-
-
MIT Press Cambridge, Mass.
-
B. Schölkopf, and A.J. Smola Learning with kernels: support vector machines, regularization, optimization, and beyond 2002 MIT Press Cambridge, Mass.
-
(2002)
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and beyond
-
-
Schölkopf, B.1
Smola, A.J.2
-
39
-
-
0036833278
-
Whats wrong with the Fisher criterion?
-
J. Yang, J. Yang, and D. Zhang Whats wrong with the Fisher criterion? Pattern Recognition 35 11 2002 2665 2668
-
(2002)
Pattern Recognition
, vol.35
, Issue.11
, pp. 2665-2668
-
-
Yang, J.1
Yang, J.2
Zhang, D.3
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