Author: Satosi Watanabe Publisher: Academic Press ISBN: 1483268985 Category : Reference Languages : en Pages : 591
Book Description
Methodologies of Pattern Recognition is a collection of papers that deals with the two approaches to pattern recognition (geometrical and structural), the Robbins-Monro procedures, and the implications of interactive graphic computers for pattern recognition methodology. Some papers describe non-supervised learning in statistical pattern recognition, parallel computation in pattern recognition, and statistical analysis as a tool to make patterns emerge from data. One paper points out the importance of cluster processing in visual perception in which proximate points of similar brightness values form clusters. At higher levels of mental activity humans are efficient in clumping complex items into clusters. Another paper suggests a recognition method which combines versatility and an efficient noise-proofness in dealing with the two main problems in the field of recognition. These difficulties are the presence of a large variety of observed signals and the presence of interference. One paper reports on a possible feature selection for pattern recognition systems employing the minimization of population entropy. Electronic engineers, physicists, physiologists, psychologists, logicians, mathematicians, and philosophers will find great rewards in reading the above collection.
Author: CH. Fehrenbach Publisher: Springer Science & Business Media ISBN: 9401026270 Category : Science Languages : en Pages : 318
Book Description
Dr J. Landi Dessy, Director of the Astronomical Observatory, Cordoba, Argentina, invited the International Astronomical Union to hold a Symposium in Cordoba in connection with the celebration of the Centennial of the Cordoba Observatory; the date of foundation is October 24, 1871. He proposed that the Symposium should deal with Spectral Classification and Multicolour Photometry as seven years had elapsed since the Symposium No. 24 in Saltsj6baden, and much development had occurred in the field. The invitation and the proposal were accepted by the IAU, and the Symposium was held in Villa Carlos Paz, near Cordoba, between October 18 and October 24, 1971. It was attended by about 50 scientists representing Argentina, Canada, Chile, Den mark, France, Germany, Italy, Mexico, Sweden, Switzerland, U.K., U.S.A., Vatican City State and Venezuela. The Symposium was divided into four sessions: 1. Classification of slit spectra, 2. Classification of objective-prism spectra, 3. Photometric classification, 4. Catalogues and documentation. It was decided not to include problems of calibration of absolute magnitudes and temperatures of stars but to refer this to a separate symposium. The contents of the present volume follow closely the programmes of the individual sessions of the Symposium. All the participants at the Symposium appreciated the excellent hospitality of their Argentinian hosts and the efficient help given by the staff ofthe Cordoba Observatory.
Author: Stanford University Stanford Electronics Laboratories Publisher: ISBN: Category : Pattern perception Languages : en Pages : 64
Book Description
This paper is specifically concerned with the problem of inferring from a finite set of patterns the classification of an unknown pattern. A discussion of the general problems inherent in the concept of 'learning' and 'data reduction' are discussed from a standpoint of measurement selection for the general pattern recognition problem. A brief history of the existent work in empirical Bayes and compound sequential Bayes procedures will be presented. It is felt that these procedures are basically non-Bayesian, despite their names, and are therefore especially suited to problems arising in pattern recognition. Finally, a discussion is made of some nonparametric approaches to the problem of the classification of an unknown pattern when the only information on the underlying distributions associated with the various categories is that which can be obtained from a finite number of samples. (Author).
Author: Satosi Watanabe
Author: CH. Fehrenbach
Author: 
Author: 
Author: University of Cambridge
Author: 
Author: 
Author: Stanford University Stanford Electronics Laboratories
Author: International Astronomical Union
Author: