-
5
-
-
77955509820
-
Blind multiuser detector for chaos-based CDMA using aupport vector machine
-
Aug.
-
J. W.-H. Kao, S. M. Berber, and V. Kecman, "Blind multiuser detector for chaos-based CDMA using aupport vector machine," IEEE Trans. Neural Netw., vol. 21, no. 8, pp. 1221-1231, Aug. 2010.
-
(2010)
IEEE Trans. Neural Netw
, vol.21
, Issue.8
, pp. 1221-1231
-
-
Kao, J.W.-H.1
Berber, S.M.2
Kecman, V.3
-
6
-
-
0030673582
-
Training support vector machines: An application to face detection
-
San Juan, Puerto Rico
-
E. Osuna, R. Freund, and F. Girosi, "Training support vector machines: An application to face detection," in Proc. IEEE Comput. Vision Pattern Recognit., San Juan, Puerto Rico, 1997, pp. 130-136.
-
(1997)
Proc IEEE Comput. Vision Pattern Recognit.
, pp. 130-136
-
-
Osuna, E.1
Freund, R.2
Girosi, F.3
-
7
-
-
84957069814
-
Text categorization with support vector machines: Learning with many relevant features
-
T. Joachims, C. Ndellec, and C. Rouveriol, "Text categorization with support vector machines: Learning with many relevant features," in Proc. Eur. Conf. Machine Learn., Chemnitz, Germany, 1998, pp. 137-142.
-
(1998)
Proc. Eur. Conf. Machine Learn., Chemnitz, Germany
, pp. 137-142
-
-
Joachims, T.1
Ndellec, C.2
Rouveriol, C.3
-
8
-
-
0037002322
-
A support vector machine approach for detection of microcalcifications
-
Dec
-
I. El-Naqa, Y. Yang, M. N. Wernik, N. P. Galatsanos, and R. M. Nishikawa, "A support vector machine approach for detection of microcalcifications, " IEEE Trans. Med. Imag., vol. 21, no. 12, pp. 1552-1563, Dec. 2002.
-
(2002)
IEEE Trans. Med. Imag
, vol.21
, Issue.12
, pp. 1552-1563
-
-
El-Naqa, I.1
Yang, Y.2
Wernik, M.N.3
Galatsanos, N.P.4
Nishikawa, R.M.5
-
9
-
-
78149294352
-
Clifford support vector machines for classification, regression, and recurrence
-
Nov.
-
E. J. Bayro-Corrochano and N. Arana-Daniel, "Clifford support vector machines for classification, regression, and recurrence," IEEE Trans. Neural Netw., vol. 21, no. 11, pp. 1731-1746, Nov. 2010.
-
(2010)
IEEE Trans. Neural Netw
, vol.21
, Issue.11
, pp. 1731-1746
-
-
Bayro-Corrochano, E.J.1
Arana-Daniel, N.2
-
10
-
-
79951670257
-
Multiconlitron: A general piecewise linear classifier
-
Feb.
-
Y. Li, L. Bo, X. Yang, Y. Fu, and H. Li, "Multiconlitron: A general piecewise linear classifier," IEEE Trans. Neural Netw., vol. 22, no. 2, pp. 276-289, Feb. 2011.
-
(2011)
IEEE Trans. Neural Netw
, vol.22
, Issue.2
, pp. 276-289
-
-
Li, Y.1
Bo, L.2
Yang, X.3
Fu, Y.4
Li, H.5
-
11
-
-
0003120218
-
Fast training of support vector machines using sequential minimal optimization
-
B. Schölkopf C. J. C. Burges, and A. J. Smola, Eds. Cambridge, MA: MIT Press
-
J. Platt, "Fast training of support vector machines using sequential minimal optimization," in Advances in Kernel Methods-Support Vector Learning, B. Schölkopf, C. J. C. Burges, and A. J. Smola, Eds. Cambridge, MA: MIT Press, 1999, pp. 185-208.
-
(1999)
Advances in Kernel Methods-Support Vector Learning
, pp. 185-208
-
-
Platt, J.1
-
12
-
-
0006456134
-
Geometry in learning
-
C. Gorini, E. Hart, W. Meyer, and T. Phillips, Eds. Washington D.C. Mathematical Association of America
-
K. P. Bennett and E. J. Bredensteiner, "Geometry in learning," in Geometry at Work, C. Gorini, E. Hart, W. Meyer, and T. Phillips, Eds. Washington D.C. Mathematical Association of America, 1998.
-
(1998)
Geometry at Work
-
-
Bennett, K.P.1
Bredensteiner, E.J.2
-
13
-
-
0008202233
-
Duality and geometry in SVM classifiers
-
K. P. Bennett and E. J. Bredensteiner, "Duality and geometry in SVM classifiers," in Proc. 17th Int. Conf. Mach. Learn., Los Altos, CA, 2000, pp. 57-64.
-
(2000)
Proc. 17th Int. Conf. Mach. Learn., Los Altos, CA
, pp. 57-64
-
-
Bennett, K.P.1
Bredensteiner, E.J.2
-
14
-
-
84898984811
-
A geometric interpretation of ν-SVM classifiers
-
D. J. Crisp and C. J. C. Burges, "A geometric interpretation of ν-SVM classifiers," Adv. Neural Inf. Process. Syst., vol. 12, no. 4, pp. 244-250, 2000.
-
(2000)
Adv. Neural Inf. Process. Syst
, vol.12
, Issue.4
, pp. 244-250
-
-
Crisp, D.J.1
Burges, C.J.C.2
-
15
-
-
0002274728
-
An iterative procedure for computing the minimum of a quadratic form on a convex set
-
E. G. Gilbert, "An iterative procedure for computing the minimum of a quadratic form on a convex set," SIAM J. Control, vol. 4, no. 1, pp. 61-79, 1966.
-
(1966)
SIAM J. Control
, vol.4
, Issue.1
, pp. 61-79
-
-
Gilbert, E.G.1
-
16
-
-
0038411822
-
Sravnitelnyj analiz algoritmov sinteza linejnogo reshajushchego pravila dlja proverki slozhnych gipotez (comparative analysis of algorithms synthesising linear decision rule for analysis of complex hypotheses)
-
M. I. Schlesinger, V. G. Kalmykov, and A. A. Suchorukov, "Sravnitelnyj analiz algoritmov sinteza linejnogo reshajushchego pravila dlja proverki slozhnych gipotez (comparative analysis of algorithms synthesising linear decision rule for analysis of complex hypotheses)," Automatika, vol. 1, no. 1, pp. 3-9, 1981.
-
(1981)
Automatika
, vol.1
, Issue.1
, pp. 3-9
-
-
Schlesinger, M.I.1
Kalmykov, V.G.2
Suchorukov, A.A.3
-
18
-
-
0016025580
-
Finding the point of a polyhedron closest to the origin
-
B. Mitchell, V. Dem'yanov, and V. Malozemov, "Finding the point of a polyhedron closest to the origin," SIAM J. Control, vol. 12, no. 1, pp. 19-26, 1974.
-
(1974)
SIAM J. Control
, vol.12
, Issue.1
, pp. 19-26
-
-
Mitchell, B.1
Dem'Yanov, V.2
Malozemov, V.3
-
19
-
-
0033640690
-
A fast iterative nearest point algorithm for support vector machine classifier design
-
Jan
-
S. S. Keerthi, S. K. Shevade, C. Bhattacharyya, and K. R. K. Murthy, "A fast iterative nearest point algorithm for support vector machine classifier design," IEEE Trans. Neural Netw., vol. 11, no. 1, pp. 124-136, Jan. 2000.
-
(2000)
IEEE Trans. Neural Netw
, vol.11
, Issue.1
, pp. 124-136
-
-
Keerthi, S.S.1
Shevade, S.K.2
Bhattacharyya, C.3
Murthy, K.R.K.4
-
20
-
-
0038647819
-
An iterative algorithm learning the maximal margin classifier
-
V. Franc and V. Hlavác, "An iterative algorithm learning the maximal margin classifier," Pattern Recognit., vol. 36, no. 9, pp. 1985-1996, 2003.
-
(2003)
Pattern Recognit
, vol.36
, Issue.9
, pp. 1985-1996
-
-
Franc, V.1
Hlavác, V.2
-
21
-
-
78049363062
-
-
New York: Springer-Verlag
-
J. López and J. R. Dorronsoro, A Common Framework for the Convergence of the GSK, MDM and SMO Algorithms (Lecture Notes in Computer Science), LNCS 6353. New York: Springer-Verlag, 2010, pp. 82-87.
-
(2010)
A Common Framework for the Convergence of the GSK, MDM and SMO Algorithms (Lecture Notes in Computer Science), LNCS 6353
, pp. 82-87
-
-
López, J.1
Dorronsoro, J.R.2
-
23
-
-
0010252093
-
-
Dept. ACSE, Univ. Sheffield, Sheffield, U.K., Tech. Rep. ACSE-TR-752
-
T. T. Friess and R. Harisson, "Support vector neural networks: The kernel adatron with bias and soft margin," Dept. ACSE, Univ. Sheffield, Sheffield, U.K., Tech. Rep. ACSE-TR-752, 1998.
-
(1998)
Support Vector Neural Networks: The Kernel Adatron with Bias and Soft Margin
-
-
Friess, T.T.1
Harisson, R.2
-
24
-
-
33646516358
-
A geometric approach to support vector machine (SVM) classification
-
May
-
M. E. Mavroforakis and S. Theodoridis, "A geometric approach to support vector machine (SVM) classification," IEEE Trans. Neural Netw., vol. 17, no. 3, pp. 671-682, May 2006.
-
(2006)
IEEE Trans. Neural Netw
, vol.17
, Issue.3
, pp. 671-682
-
-
Mavroforakis, M.E.1
Theodoridis, S.2
-
25
-
-
2942586739
-
A generalized S-K algorithm for learning ν-SVM classifiers
-
Q. Tao, G. Wu, and J. Wang, "A generalized S-K algorithm for learning ν-SVM classifiers," Pattern Recognit. Lett., vol. 25, no. 10, pp. 1165-1171, 2004.
-
(2004)
Pattern Recognit. Lett
, vol.25
, Issue.10
, pp. 1165-1171
-
-
Tao, Q.1
Wu, G.2
Wang, J.3
-
26
-
-
35448932022
-
A general soft method for learning SVM classifiers with L1-norm penalty
-
Q. Tao, G. Wu, and J. Wang, "A general soft method for learning SVM classifiers with L1-norm penalty," Pattern Recognit., vol. 41, no. 3, pp. 939-948, 2008.
-
(2008)
Pattern Recognit
, vol.41
, Issue.3
, pp. 939-948
-
-
Tao, Q.1
Wu, G.2
Wang, J.3
-
27
-
-
34548614456
-
A geometric nearest point algorithm for the efficient solution of the SVM classification task
-
Sep
-
M. E. Mavroforakis, M. Sdralis, and S. Theodoridis, "A geometric nearest point algorithm for the efficient solution of the SVM classification task," IEEE Trans. Neural Netw., vol. 18, no. 5, pp. 1545-1549, Sep. 2007.
-
(2007)
IEEE Trans. Neural Netw
, vol.18
, Issue.5
, pp. 1545-1549
-
-
Mavroforakis, M.E.1
Sdralis, M.2
Theodoridis, S.3
-
28
-
-
78649326085
-
Clipping algorithms for solving the nearest point problem over reduced convex hulls
-
J. López, Á. Barbero, and J. R. Dorronsoro, "Clipping algorithms for solving the nearest point problem over reduced convex hulls," Pattern Recognit., vol. 44, no. 3, pp. 607-614, 2011.
-
(2011)
Pattern Recognit
, vol.44
, Issue.3
, pp. 607-614
-
-
López, J.1
Barbero, Á.2
Dorronsoro, J.R.3
-
29
-
-
67949120315
-
A novel geometric approach to binary classification based on scaled convex hulls
-
Jul
-
Z. B. Liu, J. G. Liu, C. Pan, and G. Y. Wang, "A novel geometric approach to binary classification based on scaled convex hulls," IEEE Trans. Neural Netw., vol. 20, no. 7, pp. 1215-1220, Jul. 2009.
-
(2009)
IEEE Trans. Neural Netw
, vol.20
, Issue.7
, pp. 1215-1220
-
-
Liu, Z.B.1
Liu, J.G.2
Pan, C.3
Wang, G.Y.4
-
30
-
-
70350726192
-
A generalized Gilbert's algorithm for approximating general SVM classifiers
-
Dec
-
Z. B. Liu, J. G. Liu, Z. Chen, and G. Y. Wang, "A generalized Gilbert's algorithm for approximating general SVM classifiers," Neurocomputing, vol. 73, nos. 1-3, pp. 219-224, Dec. 2009.
-
(2009)
Neurocomputing
, vol.73
, Issue.1-3
, pp. 219-224
-
-
Liu, Z.B.1
Liu, J.G.2
Chen, Z.3
Wang, G.Y.4
-
31
-
-
58349115628
-
CCH-based geometric algorithm for SVM classification and the application
-
X. J. Peng and Y. F. Wang, "CCH-based geometric algorithm for SVM classification and the application," Appl. Math. Mech., vol. 30, no. 1, pp. 89-100, 2009.
-
(2009)
Appl. Math. Mech
, vol.30
, Issue.1
, pp. 89-100
-
-
Peng, X.J.1
Wang, Y.F.2
-
32
-
-
63549096237
-
Total margin ν-support vector machine and its geometric problem
-
X. J. Peng and Y. F. Wang, "Total margin ν-support vector machine and its geometric problem," Pattern Recognit. Artif. Intell., vol. 22, no. 1, pp. 8-16, 2009.
-
(2009)
Pattern Recognit. Artif. Intell
, vol.22
, Issue.1
, pp. 8-16
-
-
Peng, X.J.1
Wang, Y.F.2
-
33
-
-
0242288816
-
A geometric approach to support vector regression
-
J. Bi and K. P. Bennett, "A geometric approach to support vector regression," Neurocomputing, vol. 55, no. 6, pp. 79-108, 2003.
-
(2003)
Neurocomputing
, vol.55
, Issue.6
, pp. 79-108
-
-
Bi, J.1
Bennett, K.P.2
-
34
-
-
78650701421
-
The robust and efficient adaptive normal direction support vector regression
-
X. J. Peng and Y. F. Wang, "The robust and efficient adaptive normal direction support vector regression," Exp. Syst. Appl., vol. 38, no. 4, pp. 2998-3008, 2011.
-
(2011)
Exp. Syst. Appl
, vol.38
, Issue.4
, pp. 2998-3008
-
-
Peng, X.J.1
Wang, Y.F.2
-
35
-
-
34248634049
-
A geometrical method to improve performance of the support vector machine
-
May
-
P. Williams, S. Li, J. F. Feng, and S. Wu, "A geometrical method to improve performance of the support vector machine," IEEE Trans. Neural Netw., vol. 18, no. 3, pp. 942-947, May 2007.
-
(2007)
IEEE Trans. Neural Netw
, vol.18
, Issue.3
, pp. 942-947
-
-
Williams, P.1
Li, S.2
Feng, J.F.3
Wu, S.4
-
36
-
-
56449118263
-
Nearest hyperdisk methods for high-dimensional classification
-
H. Cevikalp, B. Triggs, and R. Polikar, "Nearest hyperdisk methods for high-dimensional classification," in Proc. 25th Int. Conf. Mach. Learn., 2008, pp. 1-8.
-
(2008)
Proc. 25th Int. Conf. Mach. Learn
, pp. 1-8
-
-
Cevikalp, H.1
Triggs, B.2
Polikar, R.3
-
37
-
-
77953213201
-
Large margin classifiers based on convex class models
-
Sep-Oct
-
H. Cevikalp and B. Triggs, "Large margin classifiers based on convex class models," in Proc. Int. Conf. Comput. Vis. Workshops, Sep.-Oct. 2009, pp. 101-108.
-
(2009)
Proc. Int. Conf. Comput. Vis. Workshops
, pp. 101-108
-
-
Cevikalp, H.1
Triggs, B.2
-
38
-
-
84876907182
-
Kernel affine subspace nearest points classification algorithm
-
X. F. Zhou, W. H. Jiang, and J. Y. Yang, "Kernel affine subspace nearest points classification algorithm," Comput. Eng., vol. 34, no. 17, pp. 23-25, 2008.
-
(2008)
Comput. Eng
, vol.34
, Issue.17
, pp. 23-25
-
-
Zhou, X.F.1
Jiang, W.H.2
Yang, J.Y.3
-
39
-
-
70449093349
-
Affine subspace nearest points classification algorithm for wavelet face recognition
-
Mar-Apr
-
X. F. Zhou and Y. Shi, "Affine subspace nearest points classification algorithm for wavelet face recognition," in Proc. WRI World Congr. Comput. Sci. Inf. Eng., Mar.-Apr. 2009, pp. 684-688.
-
(2009)
Proc. WRI World Congr. Comput. Sci. Inf. Eng.
, pp. 684-688
-
-
Zhou, X.F.1
Shi, Y.2
-
40
-
-
77951163426
-
A new kernel-based classification algorithm
-
Dec
-
X. F. Zhou, W. H. Jiang, Y. J. Tian, P. Zhang, G. L. Nie, and Y. Shi, "A new kernel-based classification algorithm," in Proc. 9th IEEE Int. Conf. Data Mining, Dec. 2009, pp. 1094-1099.
-
(2009)
Proc. 9th IEEE Int. Conf. Data Mining
, pp. 1094-1099
-
-
Zhou, X.F.1
Jiang, W.H.2
Tian, Y.J.3
Zhang, P.4
Nie, G.L.5
Shi, Y.6
-
41
-
-
78650309623
-
Large margin classifiers based on affine hulls
-
H. Cevikalp, B. Triggs, H. S. Yavuz, Y. Küçük, M. Küçük, and A. Barkana, "Large margin classifiers based on affine hulls," Neurocomputing, vol. 73, nos. 16-18, pp. 3160-3168, 2010.
-
(2010)
Neurocomputing
, vol.73
, Issue.16-18
, pp. 3160-3168
-
-
Cevikalp, H.1
Triggs, B.2
Yavuz, H.S.3
Küçük, Y.4
Küçük, M.5
Barkana, A.6
-
42
-
-
17444438778
-
New support vector algorithms
-
B. Schölkopf, A. Smola, R. Williamson, and P. L. Bartlett, "New support vector algorithms," Neural Comput., vol. 12, no. 5, pp. 1207-1245, 2000.
-
(2000)
Neural Comput
, vol.12
, Issue.5
, pp. 1207-1245
-
-
Schölkopf, B.1
Smola, A.2
Williamson, R.3
Bartlett, P.L.4
-
43
-
-
33750584105
-
-
[Online]
-
G. Rätsch. (2000). Benchmark Repository [Online]. Available: http://ida. first.fhg.de/projects/bench/benchmarks.htm
-
(2000)
Benchmark Repository
-
-
Rätsch, G.1
-
44
-
-
76749132106
-
Analysis of the distance between two classes for tuning SVM hyperparameters
-
Feb.
-
J. Sun, C. Zheng, X. Li, and Y. Zhou, "Analysis of the distance between two classes for tuning SVM hyperparameters," IEEE Trans. Neural Netw., vol. 21, no. 2, pp. 305-318, Feb. 2010.
-
(2010)
IEEE Trans. Neural Netw
, vol.21
, Issue.2
, pp. 305-318
-
-
Sun, J.1
Zheng, C.2
Li, X.3
Zhou, Y.4
|