Discriminative sparse representations

He Zhang; Vishal M. Patel

doi:10.1007/978-3-319-61609-4_6

Discriminative sparse representations

He Zhang, Vishal M. Patel

Engn - Elec & Computer Engn

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

In recent years, Sparse Representation (SR) and Dictionary Learning (DL) have emerged as powerful tools for efficient processing image and video data in non-traditional ways. An area of promise for these theories is object recognition. In this chapter, we review the role of algorithms based on SR and DL for object recognition. In particular, supervised, unsupervised, weakly supervised, nonlinear kernel-based, convolutional sparse coding and analysis DL methods are reviewed.

Original language	English (US)
Title of host publication	Handbook of Convex Optimization Methods in Imaging Science
Publisher	Springer International Publishing
Pages	126-256
Number of pages	131
ISBN (Electronic)	9783319616094
ISBN (Print)	9783319616087
DOIs	https://doi.org/10.1007/978-3-319-61609-4_6
State	Published - Jan 1 2017

All Science Journal Classification (ASJC) codes

Computer Science(all)
Engineering(all)

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10.1007/978-3-319-61609-4_6

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Discriminative sparse representations

Abstract

All Science Journal Classification (ASJC) codes

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