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Composing Fisher Kernels from Deep Neural Models A Practitioner's Approach /

This book shows machine learning enthusiasts and practitioners how to get the best of both worlds by deriving Fisher kernels from deep learning models. In addition, the book shares insight on how to store and retrieve large-dimensional Fisher vectors using feature selection and compression technique...

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Main Authors: Azim, Tayyaba. (Author, http://id.loc.gov/vocabulary/relators/aut), Ahmed, Sarah. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
Edition:1st ed. 2018.
Series:SpringerBriefs in Computer Science,
Subjects:
Pattern recognition.
Signal processing.
Image processing.
Speech processing systems.
Information storage and retrieval.
Mathematical statistics.
Data structures (Computer science).
Artificial intelligence.
Pattern Recognition.
Signal, Image and Speech Processing.
Information Storage and Retrieval.
Probability and Statistics in Computer Science.
Data Storage Representation.
Artificial Intelligence.
Online Access:https://doi.org/10.1007/978-3-319-98524-4

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