Image Understanding using Sparse Representations /

Image Understanding using Sparse Representations /

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Frameworks that enhance the performance of sparse models in such applications by imposing constraints based on the prior discriminatory information and the underlying geometrical structure, and kernelizing the sparse coding and dictionary learning methods are presented. In addition to presenting the...

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Bibliographic Details
Main Authors: Thiagarajan, Jayaraman J (Author, http://id.loc.gov/vocabulary/relators/aut), Ramamurthy, Karthikeyan Natesan (http://id.loc.gov/vocabulary/relators/aut), Spanias, Andreas (http://id.loc.gov/vocabulary/relators/aut), Turaga, Pavan (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Format: Book
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2014
Edition:1st ed. 2014
Series:Synthesis Lectures on Image, Video, and Multimedia Processing,
Subjects:
Electrical engineering
Engineering
Signal processing
Technology and Engineering
Electrical and Electronic Engineering
Signal, Speech and Image Processing

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