Correlation pattern recognition von kumar (12 Ergebnisse)

Zustand: Very Good. 1st Edition. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good. …

Hardcover. Zustand: Fine. 1st Edition. Xii, 390 Pp. Hardcover. First Printing, As New.

Zustand: New.

Zustand: New. A review of the background material needed for correlation pattern recognition for graduate students and practitioners. Num Pages: 404 pages, black & white illustrations. BIC Classification: UYQP; UYQV. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 244 x 170 x 21. Weight in Grams: 640. . 2010. paperback. . . . . …

Zustand: New. A review of the background material needed for correlation pattern recognition for graduate students and practitioners. Num Pages: 404 pages, black & white illustrations. BIC Classification: UYQP; UYQV. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 244 x 170 x 21. Weight in Grams: 640. . 2010. paperback. . . . . Books ship from the US and Ireland. …

hardcover. Zustand: New. In shrink wrap. Looks like an interesting title.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Correlation is a robust and general technique for pattern recognition and is used in many applications, such as automatic target recognition, biometric recognition and optical character recognition. The design, analysis and use of correlation pattern recognition algorithms requires background information, including linear systems theory, random variables and processes, matrix/vector methods, detection and estimation theory, digital signal processing and optical processing. This book provides a needed review of this diverse background material and develops the signal processing theory, the pattern recognition metrics, and the practical application know-how from basic premises. It shows both digital and optical implementations. It also contains technology presented by the team that developed it and includes case studies of significant interest, such as face and fingerprint recognition. Suitable for graduate students taking courses in pattern recognition theory, whilst reaching technical levels of interest to the professional practitioner.…

Zustand: New.

Zustand: New. A review of the background material needed for correlation pattern recognition for graduate students and practitioners. Num Pages: 404 pages, 126 b/w illus. 16 tables. BIC Classification: PHJ. Category: (P) Professional & Vocational. Dimension: 174 x 254 x 23. Weight in Grams: 952. . 2005. hardcover. . . . . …

Zustand: New. A review of the background material needed for correlation pattern recognition for graduate students and practitioners. Num Pages: 404 pages, 126 b/w illus. 16 tables. BIC Classification: PHJ. Category: (P) Professional & Vocational. Dimension: 174 x 254 x 23. Weight in Grams: 952. . 2005. hardcover. . . . . Books ship from the US and Ireland. …

Hardcover. Zustand: Brand New. 1st edition. 402 pages. 10.00x7.25x1.00 inches. In Stock.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Correlation is a robust and general technique for pattern recognition and is used in many applications, such as automatic target recognition, biometric recognition and optical character recognition. The design, analysis and use of correlation pattern recognition algorithms requires background information, including linear systems theory, random variables and processes, matrix/vector methods, detection and estimation theory, digital signal processing and optical processing. This book provides a needed review of this diverse background material and develops the signal processing theory, the pattern recognition metrics, and the practical application know-how from basic premises. It shows both digital and optical implementations. It also contains technology presented by the team that developed it and includes case studies of significant interest, such as face and fingerprint recognition. Suitable for graduate students taking courses in pattern recognition theory, whilst reaching technical levels of interest to the professional practitioner.…