Syntactic methods in pattern recognition - Info and Reading Options
By K. S. Fu

"Syntactic methods in pattern recognition" was published by Academic Press in 1974 - New York, it has 295 pages and the language of the book is English.
“Syntactic methods in pattern recognition” Metadata:
- Title: ➤ Syntactic methods in pattern recognition
- Author: K. S. Fu
- Language: English
- Number of Pages: 295
- Publisher: Academic Press
- Publish Date: 1974
- Publish Location: New York
“Syntactic methods in pattern recognition” Subjects and Themes:
- Subjects: ➤ Mathematical linguistics - Pattern perception - Patroonherkenning - Mustererkennung - Linguistik - Syntaktische Analyse - Perception de structure - Linguistique mathematique - Mathemat - Deutsche Arbeitsgemeinschaft für Mustererkennung Symposium gnd
Edition Specifications:
- Pagination: xi, 295 p.
Edition Identifiers:
- The Open Library ID: OL5424687M - OL5260290W
- Online Computer Library Center (OCLC) ID: 867479
- Library of Congress Control Number (LCCN): 73018948
- ISBN-10: 0122695607
- All ISBNs: 0122695607
AI-generated Review of “Syntactic methods in pattern recognition”:
"Syntactic methods in pattern recognition" Description:
The Open Library:
In this book, we study theoretical and practical aspects of computing methods for mathematical modeling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation; methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; and methods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory. As a result, the book represents a blend of new methods in general computational analysis, and specific, but also generic, techniques for study of systems theory ant its particular branches, such as optimal filtering and information compression. Topics include best operator approximation, non-Lagrange interpolation, generic Karhunen-Loeve transform, generalized low-rank matrix approximation, optimal data compression, and optimal nonlinear filtering.
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