Discriminative sparse representations

He Zhang, Vishal M. Patel

Research output: Chapter in Book/Report/Conference proceedingChapter

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 languageEnglish (US)
Title of host publicationHandbook of Convex Optimization Methods in Imaging Science
PublisherSpringer International Publishing
Pages126-256
Number of pages131
ISBN (Electronic)9783319616094
ISBN (Print)9783319616087
DOIs
StatePublished - Jan 1 2017

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Engineering(all)

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