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Composing fisher kernels from deep n...

Ahmed, Sarah.

Composing fisher kernels from deep neural modelsa practitioner's approach /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Composing fisher kernels from deep neural modelsby Tayyaba Azim, Sarah Ahmed.
Reminder of title:	a practitioner's approach /
Author:	Azim, Tayyaba.
other author:	Ahmed, Sarah.
Published:	Cham :Springer International Publishing :2018.
Description:	xiii, 59 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Kernel functions.
Online resource:	https://doi.org/10.1007/978-3-319-98524-4
ISBN:	9783319985244$q(electronic bk.)

Composing fisher kernels from deep neural modelsa practitioner's approach /
Azim, Tayyaba.

Composing fisher kernels from deep neural modelsa practitioner's approach /[electronic resource] :by Tayyaba Azim, Sarah Ahmed. - Cham :Springer International Publishing :2018. - xiii, 59 p. :ill., digital ;24 cm. - SpringerBriefs in computer science,2191-5768. - SpringerBriefs in computer science..

Chapter 1. Kernel Based Learning: A Pragmatic Approach in the Face of New Challenges -- Chapter 2. Fundamentals of Fisher Kernels -- Chapter 3. Training Deep Models and Deriving Fisher Kernels: A Step Wise Approach -- Chapter 4. Large Scale Image Retrieval and Its Challenges -- Chapter 5. Open Source Knowledge Base for Machine Learning Practitioners.

ISBN: 9783319985244$q(electronic bk.)

Standard No.: 10.1007/978-3-319-98524-4doiSubjects--Topical Terms:

214209
Kernel functions.

LC Class. No.: QA353.K47

Dewey Class. No.: 515.7

Composing fisher kernels from deep neural modelsa practitioner's approach /
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100 1 $a Azim, Tayyaba. $3 821953
245 1 0 $a Composing fisher kernels from deep neural models $h [electronic resource] : $b a practitioner's approach / $c by Tayyaba Azim, Sarah Ahmed.
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300 $a xiii, 59 p. : $b ill., digital ; $c 24 cm.
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505 0 $a Chapter 1. Kernel Based Learning: A Pragmatic Approach in the Face of New Challenges -- Chapter 2. Fundamentals of Fisher Kernels -- Chapter 3. Training Deep Models and Deriving Fisher Kernels: A Step Wise Approach -- Chapter 4. Large Scale Image Retrieval and Its Challenges -- Chapter 5. Open Source Knowledge Base for Machine Learning Practitioners.
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650 0 $a Support vector machines. $3 679056
650 1 4 $a Pattern Recognition. $3 273706
650 2 4 $a Signal, Image and Speech Processing. $3 273768
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650 2 4 $a Data Storage Representation. $3 277024
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