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Education
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K. Fukunaga
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B. D. Ripley
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S. Theodoridis, K.
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S. Theodoridis, A.
Pikrakis, K. Koutroumbas, D. Cavouras An Introduction to Pattern Recognition:
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J. Shawe-Taylor, N.
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A. Webb
Statistical Pattern Recognition, 2nd Edition, John Wiley, 2002.
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O.Chapelle, B.
Scholkopf, A. Zien Semisupervised Learning, MIT Press, 2006.
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T. Hastie, R.
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S. Marsland
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V. Vapnik
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V. Vapnik The
Nature of Statistical Learning, 2nd Edition, Springer, 2000.
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S. Haykin Neural
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C.E. Rasmusen, C. Williams Gaussian
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B. Scholkopf, A. J.
Smola Learning with Kernels, MIT Press, 2002.
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J. Pearl Probabilistic Reasoning in
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R. D. Neapolitan Learning Bayesian
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John Lee, M.
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T. Adali and S.
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L. B. Almeida, Nonlinear Source
Separation, Synthesis Lectures on Signal Processing, Morgan and Claypool
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J. R. Deller, J. H. L. Hansen, J. G.
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H. Liu, H. Motoda,
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- S. Nikolopoulos, S. Zafeiriou, I. Patras, I. Kompatsiaris. High order pLSA for indexing tagged images. Signal Processing, Volume 93, Issue 8, pp. 2212-2228, August 2013.
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- K.G. Derpanis and R.P. Wildes. Spacetime texture representation and recognition based on a spatiotemporal orientation analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 34 (6), 1193-1205, 2012.
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- IEEE Signal Processing Magazine: Special Issue on Knowledge Based Systems for Adaptive Radar, Vol. 23(1), 2006.
- IEEE Signal Processing Magazine: Special Issue on Speech Technology and Systems in Human-Machine Communication, Vol. 22(5), 2005.
- IEEE Signal Processing magazine: Special Issue on Universal Multimedia Access, Vol. 20(2), 2003.
- IEEE Signal Processing Magazine: Special Issue on Collaborative Information Processing, Vol. 19(2), 2002.
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- Kernel Multivariate Analysis Framework for Supervised Subspace Learning: A Tutorial on Linear and Kernel Multivariate Methods. Arenas-Garcia, J. ; Petersen, K. ; Camps-Valls, G. ; Hansen, L.K.
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