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39 lines (39 loc) · 1.3 KB
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cff-version: 1.2.0
message: "If you use this software or its methods, please cite the paper below."
title: "Fuzzy Visual Encoding for Image Classification"
abstract: >-
Fuzzy visual encoding using Gustafson-Kessel and Gath-Geva clustering, learning
adaptive per-cluster covariance for soft SIFT descriptor assignment. Outperforms
k-means bag-of-features on Caltech and PASCAL VOC.
type: software
authors:
- given-names: Ashish
family-names: Gupta
orcid: "https://orcid.org/0000-0002-0670-2375"
repository-code: "https://github.com/ashish-code/FuzzyVisualEncoding"
url: "https://github.com/ashish-code/FuzzyVisualEncoding"
license: GPL-3.0-or-later
doi: 10.5281/zenodo.21635775
version: "1.0.0"
date-released: "2026-07-28"
keywords:
- computer-vision
- image-classification
- fuzzy-clustering
- gustafson-kessel
- bag-of-visual-words
- sift
preferred-citation:
type: conference-paper
title: "Fuzzy encoding for image classification using Gustafson-Kessel algorithm"
authors:
- given-names: Ashish
family-names: Gupta
orcid: "https://orcid.org/0000-0002-0670-2375"
- given-names: Richard
family-names: Bowden
collection-title: "2012 19th IEEE International Conference on Image Processing (ICIP)"
start: 3137
end: 3140
year: 2012
# TODO (optional): add doi