Composing Fisher Kernels from Deep Neural Models A Practitioner's Approach
Title:
Composing Fisher Kernels from Deep Neural Models A Practitioner's Approach
Author:
Azim, Tayyaba. author.
ISBN:
9783319985244
Personal Author:
Physical Description:
XIII, 59 p. 6 illus., 5 illus. in color. online resource.
Series:
SpringerBriefs in Computer Science,
Contents:
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.
Abstract:
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Subject Term:
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Added Corporate Author:
Electronic Access:
https://doi.org/10.1007/978-3-319-98524-4