Skip to content
Save 5% on your next order with code PREMIUM5!
100,000+ Products for Home, Medical, Office & Classroom Needs
Search
Skip to product information
1 of 1

Pattern Recognition: Introduction, Features, Classifiers and Principles - Paperback

$102.58 USD
$102.58 USD
Sale Sold out
Shipping calculated at checkout.
In stock (100 units), ready to be shipped

Available Offers

Fast delivery available on most orders

Multiple secure payment options accepted

Secure checkout with
  • American Express
  • Apple Pay
  • Diners Club
  • Discover
  • Google Pay
  • Mastercard
  • PayPal
  • Shop Pay
  • Visa
View Product Details

Product Description

by Jürgen Beyerer (Author), Raphael Hagmanns (Author), Daniel Stadler (Author)

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 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.

Author Biography

Jürgen Beyerer, Raphael Hagmanns, Daniel Stadler, Fraunhofer Institute Karlsruhe, Germany.

Number of Pages: 348
Dimensions: 0.74 x 9.61 x 6.69 IN
Illustrated: Yes
Publication Date: April 01, 2024