Titlebook: Digital Pattern Recognition; King Sun Fu Book 1980Latest edition Springer-Verlag Berlin Heidelberg 1980 Moment.Mustererkennung.Region Grow

STANT

Introduction,to be classified could be a set of physical objects or a set of mental states. The number of pattern classes is often determined by the particular application in mind. For example, consider the problem of English character recognition; we should have a problem of 26 classes. On the other hand, if we

Delude

Topics in Statistical Pattern Recognition,We have chosen three areas to review: Nonparametric Discrimination, Finite Memory Learning, and Pattern Complexity. We feel that these statistical areas will ultimately play a role in any global pattern recognition theory which evolves.

Talkative

Syntactic (Linguistic) Pattern Recognition, describe patterns, and syntax analysis procedures are employed as recognition procedures. Methods for the selection of pattern primitives are presented. Both one-dimensional (string) and high-dimensional grammars are discussed and their applications to one-dimensional and high-dimensional patterns

Monotonous

Speech Recognition and Understanding,izing speech is difficult, for the nature of the speech communication process is such that the resulting acoustic signal is highly encoded and full of contextual dependencies. Speech perception on the part of a human listener requires him to utilize his linguistic knowledge to undo the encoding. Mac

Immunotherapy

Recent Developments in Digital Pattern Recognition, the first edition of the book. First, a general framework for pattern recognition is proposed. The interpretations of the three major approaches, namely, template-matching, decision-theoretic, and syntactic, in terms of the same general framework are given. Tree grammars, stochastic languages, erro

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synovium

0340-0034 ding statistics, psychology, linguistics, computer science, biology, taxonomy, switching theory, communication theory, control theory, and operations research. 978-3-540-10207-6978-3-642-67740-3Series ISSN 0340-0034

不成比例

FLOUR

Rules and Dispositions in Language UseWe have chosen three areas to review: Nonparametric Discrimination, Finite Memory Learning, and Pattern Complexity. We feel that these statistical areas will ultimately play a role in any global pattern recognition theory which evolves.

HARD

When THAT Rule Almost Persists as THAT Rule describe patterns, and syntax analysis procedures are employed as recognition procedures. Methods for the selection of pattern primitives are presented. Both one-dimensional (string) and high-dimensional grammars are discussed and their applications to one-dimensional and high-dimensional patterns