Variational Principles in Pattern Theory
The understanding of pattern formation and its dual, pattern recognition, is one of the most exciting areas of present research. It is the question of how complex systems can generate coherent global structures and how systems are designed which, by means of sensory and perceptional mechanisms, can construct internal representations of patterns in the outside world. The field represents a remarkable confluence of several different strands of thought.
KeywordsCovariance Dition Arsenin
Unable to display preview. Download preview PDF.
- 2.E. R. Caianiello, Neural Networks, Springer 1968; and in Progress in Quantum Field Theory, H. Ezawa and S. Kamefuchi (eds.), North Holland 1986Google Scholar
- 5.R. Eckmiller and Ch. v.d. Malsburg (eds.), Neural Computers, Springer 1988Google Scholar
- 6.K. S. Fu, Sequential Methods in Pattern Recognition and Machine Learning, Academic Press 1968Google Scholar
- 9.W. Güttinger and G. Dangelmayr (eds.), The Physics of Structure Formation, Springer 1987Google Scholar
- 11.H. Haken, in Physics of Cognitive Processes, E. R. Caianiello (ed.), World Scientific 1987Google Scholar
- 12.H. Haken, in Computational Systems - Natural and Artificial, H. Haken (ed.), p.2, Springer 1987Google Scholar
- 17.J. L. Lumley, Stochastic Tools in Turbulence, Academic Press 1970Google Scholar
- 18.M. Z. Nashed (ed.), Generalized Inverses and Applications, Academic Press 1976Google Scholar
- 21.T. Poggio and V. Torre, Artif. Intelligence Lab. Memo., no. 773, M.I.T. Cambridge, MassachusettsGoogle Scholar
- 22.L. Sirovich, in Proc. Int. Conf. Fluid Mech., Beijing 1987Google Scholar
- 24.A. N. Tikhonov and V. Y. Arsenin, Solutions of Ill-Posed Problems, Winston and Sons 1977Google Scholar
- 25.S. Watanabe, Pattern Recognition: Human and Mechanical, Wiley 1985Google Scholar