
Sách Pattern recognition introduction, features, classifiers and principles (Sách keo gáy, bìa mềm)
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
Categories:Computers - Computer Science
Year:2017
Language:english