Cortes, C.[Corinna],
Vapnik, V.[Vladimir],
Support-Vector Networks,
MachLearn(20), No. 3, 1995, pp. 273-297.
Initial description for SVM ideas.
0906
BibRef
Vapnik, V.[Vladimir],
The Support Vector Method,
ICANN97(263-271).
0906
BibRef
Schölkopf, B.[Bernhard],
Burges, C.[Chris],
Vapnik, V.[Vladimir],
Incorporating Invariances in Support Vector Learning Machines,
ICANN96(47-52).
0906
BibRef
Chang, C.C.,
Lin, C.J.,
LIBSVM: a library for support vector machines,
Online2001.
WWW Version.
Code, Support Vector Machines.
BibRef
0100
LIBSVMTL: a Support Vector Machine Template Library,
Online2001.
HTML Version.
Code, Support Vector Machines. Based on LIBSVM above.
BibRef
0100
Schölkopf, B.[Bernhard],
Support Vector Machines,
Oldenbourg Verlag: Munich, 1997.
BibRef
9700
Schölkopf, B.[Bernhard],
Support Vector Learning,
R. Oldenbourg VerlagMunich, 1997.
WWW Version.
BibRef
9700
Scholkopf, B.[Bernhard],
Smola, A.J.[Alexander J.],
Muller, K.R.[Klaus-Robert],
Bartlett, P.L.,
New Support Vector Algorithms,
NeurComp(12), 2000, pp. 1207-1245.
BibRef
0001
Cristianini, N.[Nello],
Schölkopf, B.[Bernhard],
Support Vector Machines and Kernel Methods:
The New Generation of Learning Machines,
AIMag(23), No. 3, Fall 2002, pp. 31-41.
Survey, SVM. Survey and general discussion.
BibRef
0200
Kienzle, W.[Wolf],
Bakir, G.H.[Gökhan H.],
Franz, M.O.[Matthias O.],
Schölkopf, B.[Bernhard],
Efficient Approximations for Support Vector Machines in Object
Detection,
DAGM04(54-61).
WWW Version.
0505
BibRef
Cristianini, N.[Nello],
Shawe-Taylor, J.[John],
An Introduction to Support Vector Machines,
Cambridge University Press2000.
Survey, SVM.
WWW Version. ISBN: 0 521 78019 5
To purchase this book look here
BibRef
0001
Chapelle, O.,
Haffner, P.,
Vapnik, V.,
Support Vector Machines for Histogram-Based Image Classification,
TNN(10), No. 5, May 1999, pp. 1055-1064.
BibRef
9905
Morra, J.H.,
Tu, Z.,
Apostolova, L.G.,
Green, A.E.,
Toga, A.W.,
Thompson, P.M.,
Comparison of AdaBoost and Support Vector Machines for Detecting
Alzheimer's Disease Through Automated Hippocampal Segmentation,
MedImg(29), No. 1, January 2010, pp. 30-43.
IEEE DOI Link
1001
BibRef
Abe, S.[Shigeo],
Support Vector Machines for Pattern Classification,
Springer-Verlag2010.
ISBN: 978-1-84996-097-7
WWW Version.
Survey, Support Vector Machines. To purchase this book look here
Overview and analysis of SVM techniques. Design, training.
BibRef
1000
Mountrakis, G.[Giorgos],
Im, J.[Jungho],
Ogole, C.[Caesar],
Support vector machines in remote sensing: A review,
PandRS(66), No. 3, May 2011, pp. 247-259.
Elsevier DOI Link
WWW Version.
1103
Survey, Support Vector Machines. Support vector machines; Review; Remote sensing; SVM; SVMs
BibRef
Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Robust Techniques, Robust Classification .