Description: Pattern Recognition : Introduction, Features, Classifiers and Principles, Paperback by Beyerer, Jürgen; Hagmanns, Raphael; Stadler, Daniel, ISBN 311133919X, ISBN-13 9783111339191, Like New Used, Free shipping in the US Th offers a thorough introduction to Pattern Recognition aimed at master and advanced bachelor students of engineering and the natural sciences. Besides classification - the heart of Pattern Recognition - special emphasis is put on features, their typology, their properties and their systematic construction. Additionally, general principles that govern Pattern Recognition are illustrated and explained in a comprehensible way. Rather than presenting a complete overview over the rapidly evolving field, th is to clarifies the concepts so that the reader can easily understand the underlying ideas and the rationale behind the methods. For this purpose, the mathematical treatment of Pattern Recognition is pushed so far that the mechanisms of action become clear and visible, but not farther. Therefore, not all derivations are driven into the last mathematical detail, as a mathematician would expect it. Ideas of proofs are presented instead of complete proofs. From the authors’ point of view, this concept allows to teach the essential ideas of Pattern Recognition with sufficient depth within a relatively lean book. Mathematical methods explained thoroughly. Extremely practical approach with many examples. Based on over ten years lecture at Karlsruhe Institute of Technology. For students but also for practitioners.
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Book Title: Pattern Recognition : Introduction, Features, Classifiers and Pri
Number of Pages: 348 Pages
Language: English
Publication Name: Pattern Recognition : Introduction, Features, Classifiers and Principles
Publisher: DE Gruyter Gmbh, Walter
Subject: Automation, Engineering (General), Intelligence (Ai) & Semantics, Data Processing
Publication Year: 2024
Item Weight: 20.7 Oz
Type: Textbook
Subject Area: Computers, Technology & Engineering
Author: Raphael Hagmanns, Daniel Stadler, Jürgen Beyerer
Item Length: 9.4 in
Series: De Gruyter Textbook Ser.
Item Width: 6.7 in
Format: Trade Paperback
