Purchase textbook

Pattern Recognition & Matlab Intro,

Edition 1

Editors: By Sergios Theodoridis and Konstantinos Koutroumbas

Publication Date: 02 Apr 2010

0 Reviews

Inaccessible, or known limited accessibility

Ways Of Reading

This e-publication is accessible to the full extent that the file format and types of content allow, on a specific reading device, by default, without necessarily including any additions such as textual descriptions of images or enhanced navigation.

Navigation

The contents of the PDF have been tagged to permit access by assistive technologies as per PDF-UA-1 standard.
Page breaks included from the original print source

Additional Accessibility Information

All (or substantially all) textual matter is arranged in a single logical reading order (including text that is visually presented as separate from the main text flow, e.g., in boxouts, captions, tables, footnotes, endnotes, citations, etc.). Non-textual content is also linked from within this logical reading order. (Purely decorative non-text content can be ignored).
The language of the text has been specified (e.g., via the HTML or XML lang attribute) to optimise text-to-speech (and other alternative renderings), both at the whole document level and, where appropriate, for individual words, phrases or passages in a different language.

Conformance

The publication was certified on 20250728
Accessibility addendum
For detailed accessibility information, see Elsevier’s website at https://www.elsevier.com/about/accessibility
For queries regarding accessibility information, contact [email protected]

Note

This product relies on 3rd party tooling which may impact the accessibility features visible in inspection copies. All accessibility features mentioned would be present in the purchased version of the title.

This specially priced set includes a copy of Theodoridis/Koutroumbas, Pattern Recognition 4e and Theodoridis/Pikrakis/Koutroumbas/Cavouras, Introduction to Pattern Recognition: A Matlab Approach.

The main text provides breadth and depth of coverage of pattern recognition theory and application, including modern topics like non-linear dimensionality reduction techniques, relevance feedback, semi-supervised learning, spectral clustering, and combining clustering algorithms. Together with worked examples, exercises, and Matlab applications it provides the most comprehensive coverage currently available.

The accompanying manual includes MATLAB code of the most common methods and algorithms in the book, together with a descriptive summary and solved problems, and including real-life data sets in imaging and audio recognition.

Key Features

This specially priced set includes a copy of Theodoridis/Koutroumbas, Pattern Recognition 4e and Theodoridis/Pikrakis/Koutroumbas/Cavouras, Introduction to Pattern Recognition: A Matlab Approach.

The main text provides breadth and depth of coverage of pattern recognition theory and application, including modern topics like non-linear dimensionality reduction techniques, relevance feedback, semi-supervised learning, spectral clustering, and combining clustering algorithms. Together with worked examples, exercises, and Matlab applications it provides the most comprehensive coverage currently available.

The accompanying manual includes MATLAB code of the most common methods and algorithms in the book, together with a descriptive summary and solved problems, and including real-life data sets in imaging and audio recognition.

About the author

By Sergios Theodoridis, professor of machine learning and signal processing with the National and Kapodistrian University of Athens, Athens, Greece and with the Chinese University of Hong Kong, Shenzhen, China. and Konstantinos Koutroumbas, Institute for Space Applications & Remote Sensing, National Observatory of Athens, Greece

ISBN: 9780123744913

Page Count: 0

Retail Price (USD) :

Theodoridis/Pikrakis/Koutroumbas/Cavouras: Introduction to Pattern Recognition: A Matlab Approach (Feb 2009, ISBN-10/13: 978-0-12-374486-9)Theodoridis and Koutroumbas: Pattern Recognition, 4e (Oct 2008, ISBN-10/13: 978-1-59749-272-0)

Electronic engineering, computer science, computer engineering, biomedical engineering and applied mathematics students taking graduate courses on pattern recognition and machine learning. R&D engineers and university researchers in image and signal processing/analyisis, and computer vision.