Extreme Value Theory-Based Methods For Visual Recognition

by Walter J. Scheirer
language: english
Publisher: MORGAN & CLAYPOOL PUBLISHERS, February of 2017 ‧
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Begins by introducing the statistical Extreme Value Theory (EVT) for visual recognition. The second part of the book uses the theory to describe a new class of machine learning algorithms for decision making that are a measurable advance beyond the state-of-the-art.

Extreme Value Theory-Based Methods For Visual Recognition

by Walter J. Scheirer

Property Description
ISBN: 9781627057004
Publisher: MORGAN & CLAYPOOL PUBLISHERS
Release Date: February of 2017
Language: English
Dimensions: 190 x 235 x 20 mm
Cover: Softcover
Pages: 131
Format: Book
Collection: Synthesis Lectures On Computer Vision
Categories: Books in English > Computing > Other Applications
EAN: 9781627057004

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