1 |
I.T. Jolliffe, 'Principal Component Analysis', New York Springer-Verlag, 1986
|
2 |
S. Chandrasekaran, B.S. Manjunath, Y.F. Wang, J. Winkeler and H. Zhang, 'An eigenspace update algorithm for image analysis,' Graphical Models and Image Processing, 59(5), pp.321-332, Sep., 1997
DOI
ScienceOn
|
3 |
B. Scholkopf, S. Mika, C. Burges, P. Knirsch, K.R. Miller, G. Ratsch and A.J. Smola, 'Input Space versus Feature Space in Kernel-Based Methods,' IEEE Transactions on Neural Networks , vol. 10, pp.1000-1017, Sep., 1999
DOI
ScienceOn
|
4 |
AJ. Smola, O.L.Mangasarian, and B. Scholkopf, 'Sparse kernel feature analysis,' Technical Report 99-03, University of Wisconsin, Data Mining Institute, Madison, 1999
|
5 |
S.R. Gunn, 'Support vector machines for classification and regression,' Technical Report ISIS-198, Department of Electronics and Computer Science, University of Southampton, 1998
|
6 |
S. Mika, 'Kernel algorithms for nonlinear signal processing in feature spaces,' Master's thesis, Technical University of Berlin, November. 1998
|
7 |
V. N. Vapnik, 'Statistical learning theory', John Wiley & Sons, New York, 1998
|
8 |
K. Tsuda, 'Support vector classifier based on asymmetric kernel function,' Proc. ESANN, 1999
|
9 |
P. Hall, D. Marshall , and R. Martin, 'Incremental eigenanalysis for classification,' In British Machine Vision Conference, volume 1, pp.286-295 , Sep., 1998
|
10 |
J. Winkeler, B.S. Manjunath and S. Chandrasekaran, 'Subset selection for active object recognition,' In CVPR, volume 2, pp.511-516, IEEE Computer Society Press, Jun., 1999
|
11 |
M.E. Tipping and C.M. Bishop, 'Mixtures of probabilistic principal component analysers,' Neural Computation 11(2), pp.443-482, 1998
DOI
ScienceOn
|
12 |
M.A. Kramer, 'Nonlinear principal component analysis using autoassociative neural networks,' AICHE Journal 37(2), pp.233-243, 1991
DOI
|
13 |
K.I. Diamantaras and S.Y. Kung, 'Principal Component Neural Networks: Theory and Applications', New York John Wiley & Sons, Inc., 1996
|
14 |
B. Scholkopf, A. Smola and K.R. Muller, 'Nonlinear component analysis as a kernel eigenvalue problem,' Neural Computation 10(5), pp.1299-1319, 1998
|
15 |
R. Rosipal and M. Girolami, 'An Expectation Maximization approach to nonlinear component analysis,' Submitted
|
16 |
H. Murakami and V. Kumar, 'Efficient Calculation of Primary Images from a Set of Images,' IEEE Trans. On Pattern Analysis and Machine Intelligence, 4 (5), pp.511-515, 1982
DOI
ScienceOn
|
17 |
J.A.K. Suykens and Vandewalle, 'Least squares support vector machine classifiers ,' Neural Processing Letters, vol.9, pp.293-300, 1999
DOI
ScienceOn
|
18 |
Accessible at http://www.esat.kuleuven.ac.be/sista/ Issvmlab/tutorial
|