structured-sparsity-visual-classification/CITATION.cff at master · ashish-code/structured-sparsity-visual-classification · GitHub

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cff-version: 1.2.0
message: "If you use this software or its methods, please cite the thesis below."
title: "Structured Sparsity for Visual Category Recognition"
abstract: >-
  Structured sparse dictionary learning for visual category recognition: Group
  Lasso (l2,1) with co-clustering for semantically grouped sparse coding. Python
  and MATLAB; evaluated on PASCAL VOC, Caltech, and Scene-15.
type: software
authors:
    - given-names: Ashish
      family-names: Gupta
      orcid: "https://orcid.org/0000-0002-0670-2375"
repository-code: "https://github.com/ashish-code/structured-sparsity-visual-classification"
url: "https://github.com/ashish-code/structured-sparsity-visual-classification"
license: MIT
doi: 10.5281/zenodo.21635803
version: "1.0.0"
date-released: "2026-07-28"
keywords:
  - computer-vision
  - sparse-coding
  - dictionary-learning
  - structured-sparsity
  - object-recognition
preferred-citation:
  type: thesis
  title: "Learning a Structured Model for Visual Category Recognition"
  authors:
    - given-names: Ashish
      family-names: Gupta
      orcid: "https://orcid.org/0000-0002-0670-2375"
  institution:
    name: "University of Surrey"
  thesis-type: "PhD thesis"
  year: 2013