Classification and clustering via dictionary learning with structured incoherence and shared features

A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, as in k-means type of approaches that model the data as distributions around discrete points, we optimize for a set of di...

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Bibliographic Details

Published in:	2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition pp. 3501 - 3508
Main Authors:	Ramirez, I, Sprechmann, P, Sapiro, G
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2010
Subjects:	Atomic measurements Clustering algorithms Dictionaries Image reconstruction Image restoration Linear approximation Robustness Signal processing algorithms Speech
ISBN:	1424469848, 9781424469840
ISSN:	1063-6919, 1063-6919
Online Access:	Get full text
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