Bookcover of Fast Kernel Expansions with Applications to CV and DL. Part 1b
Booktitle:

Fast Kernel Expansions with Applications to CV and DL. Part 1b

Carnegie Mellon. City University of Hong Kong

LAP LAMBERT Academic Publishing (2021-06-21 )

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ISBN-13:

978-620-3-92539-5

ISBN-10:
620392539X
EAN:
9786203925395
Book language:
English
Blurb/Shorttext:
The scope of the manuscript is to give a review of kernel expansions, FOURIER features and fast numerical code in statistical learning. For this purpose we introduce a library for approximating kernel expansions, which enables the use of kernel methods in large-scale datasets. It is well-known that kernel methods as originally proposed are computational costly for big data, we explain here the theory needed to enable the use of non-linear features in log-linear time. This approximation is based on FOURIER features by the use of the Walsh Hadamard. A SIMD implementation of the algorithm is described. Applications to Computer Vision (CV) and Deep Learning (DL) are enclosed with practical hints on the topic. Specifically, we give a primer on facial recognition and a foundation for the use of Vision in Robotics. <div><p style="text-align: justify;">The scope of the manuscript is to give a review of kernel expansions, FOURIER features and fast numerical code in statistical learning. For this purpose we introduce a library for approximating kernel expansions, which enables the use of kernel methods in large-scale datasets. It is well-known that kernel methods as originally proposed are computational costly for big data, we explain here the theory needed to enable the use of non-linear features in log-linear time. This approximation is based on FOURIER features by the use of the Walsh Hadamard. A SIMD implementation of the algorithm is described. Applications to Computer Vision (CV) and Deep Learning (DL) are enclosed with practical hints on the topic. Specifically, we give a primer on facial recognition and a foundation for the use of Vision in Robotics. </p></div>
Publishing house:
LAP LAMBERT Academic Publishing
Website:
https://www.lap-publishing.com/
By (author) :
I. de Zarzà
Number of pages:
76
Published on:
2021-06-21
Stock:
Available
Category:
Mathematics
Price:
32.90 €
Keywords:
Computer Vision, Kernel methods, Deep Learning, Statistical Learning, Hadamard, FOURIER Features, Robotics, facial recognition

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