Pattern Recognition: Introduction, Features, Classifiers and Principles 9783110537932

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Автор: Jurgen Beyerer, Matthias Richter, Matthias Nagel
Название: Pattern Recognition: Introduction, Features, Classifiers and Principles
ISBN: 9783110537932
Издательство: Walter de Gruyter
Классификация:

Электроника

Техника автоматического регулирования

Техника связи / дальней связи

Базы данных

Извлечение знаний из данных

Искусственный интеллект

Обработка сигналов

ISBN-10: 3110537931
Обложка/Формат: Paperback
Страницы: 311
Вес: 0.49 кг.
Дата издания: 11.12.2017
Серия: Physics
Язык: English
Размер: 244 x 170 x 16
Читательская аудитория: College/higher education
Ключевые слова: Automatic control engineering,Robotics,Databases,Artificial intelligence,Signal processing, COMPUTERS / Databases / Data Mining,COMPUTERS / Intelligence (AI) & Semantics,TECHNOLOGY & ENGINEERING / Automation,TECHNOLOGY & ENGINEERING / Signals & Signal
Поставляется из: Германии
Описание: The book 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, the book 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

Pattern Recognition: Introduction, Features, Classifiers and Principles, Jurgen Beyerer, Matthias Richter, Matthias Nagel