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Please use this identifier to cite or link to this item: http://eprint.iitd.ac.in/handle/2074/944

Title: Categorization of image databases for efficient retrieval using robust mixture decomposition
Authors: Krishnapuram, Raghu
Keywords: categorization
image databases
mixture decomposition
robust organization
Issue Date: 2001
Citation: Computer Vision and Image Understanding, 83(3), 216–235
Abstract: In this paper, we present a robust mixture decomposition technique that automatically finds a compact representation of the data in terms of components. We apply it to the problem of organizing databases for efficient retrieval. The time taken for retrieval is an order of magnitude smaller than that of exhaustive search methods.We also compare our approach with other methods for decomposition that use traditional criteria such as Akaike, Schwarz, and minimum description length.We report results on the VisTex texture image database from the MIT Media Lab.
URI: http://eprint.iitd.ac.in/dspace/handle/2074/944
Appears in Collections:Mathematics

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