@inproceedings{20fdd640d6264a26b172d09c9599356d,
title = "Rotation invariant simultaneous clustering and dictionary learning",
abstract = "In this paper, we present an approach that simultaneously clusters database members and learns dictionaries from the clusters. The method learns dictionaries in the Radon transform domain, while clustering in the image domain. Themain feature of the proposed approach is that it provides rotation invariant clustering which is useful in Content Based Image Retrieval (CBIR). We demonstrate through experimental results that the proposed rotation invariant clustering provides better retrieval performance than the standard Gabor-based method that has similar objectives.",
keywords = "CBIR, Radon transform, clustering, dictionary learning, rotation invariance",
author = "Chen, {Yi Chen} and Sastry, {Challa S.} and Patel, {Vishal M.} and Phillips, {P. Jonathon} and Rama Chellappa",
year = "2012",
doi = "10.1109/ICASSP.2012.6288067",
language = "English (US)",
isbn = "9781467300469",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "1053--1056",
booktitle = "2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings",
note = "2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 ; Conference date: 25-03-2012 Through 30-03-2012",
}