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Passive and Active Sample Selection and Variance Discriminant Analysis

For Sample-based Face Detection
by Yu Wei - Sold by Dodax EU
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$91.44
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Yu Wei Passive and Active Sample Selection and Variance Discriminant Analysis
Yu Wei - Passive and Active Sample Selection and Variance Discriminant Analysis

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Delivery: between 2021-01-27 and 2021-01-29
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$91.44 incl. VAT
State: New
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Delivery: between 2021-01-27 and 2021-01-29
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Description

Among the many existing categories of face de- tection algorithms, the sample-based method is one of the most widely-used approaches. The essence of the sample-based method is to solve a two-class classification problem of face versus non-face. Many classification algorithms such as the Naive Bayesian, Neural Network and Support Vector Machines (SVM) have been used for this purpose. This thesis showcases a research study into face detection technologies. It has two main parts. Firstly, in the sample preparation section, new passive sample selection and active sample generation algorithms are proposed to assist existing sample-based algorithms in solving the problem of face detection. Secondly, in the classification section, a new Bayesian-based classification method is proposed for face detection.

Contributors

Author Yu Wei

Product Details

DUIN 16ADLKBF4GP

GTIN 9783844392746

Language English

Pages 168

Product type Paperback

$91.44
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