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13th International Workshop on Database and Expert Systems Applications (DEXA'02)
Image Classification Using Neural Networks and Ontologies
Aix-en-Provence, France
September 02-September 06
ISBN: 0-7695-1668-8
Casey Breen, University of Texas at Dallas
Latifur Khan, University of Texas at Dallas
Arunkumar Ponnusamy, University of Texas at Dallas
The advent of extremely powerful home PCs and the growth of the Internet have made the appearance of multimedia documents a common sight in the computer world. In the world of unstructured data composed of images and other media types, classification often comes at the price of countless hours of manual labor. This research aims to present a scalable system capable of examining images and accurately classifying the image based on its visual content. When retrieving images based on a user?s query, the system will yields a minimal amount of irrelevant information (high precision) and insure a maximum amount of relevant information (high recall).
Citation:
Casey Breen, Latifur Khan, Arunkumar Ponnusamy, "Image Classification Using Neural Networks and Ontologies," dexa, pp.98, 13th International Workshop on Database and Expert Systems Applications (DEXA'02), 2002
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