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Extreme Value Theory-Based Methods For Visual Recognition
language: english
Publisher:
MORGAN & CLAYPOOL PUBLISHERS, February of 2017 ‧
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SYNOPSIS
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.
DETAILS
| 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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