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Alternate track papers & posters of the 13th international conference on World Wide Web - WWW Alt. '04
Without textual descriptions or label information of images, searching semantic concepts in image databases is still a very challenging task. While automatic annotation techniques are yet a long way off, we can seek other alternative techniques to solve this difficult issue. In this paper, we propose to learn Web images for searching the semantic concepts in large image databases. To formulate effective algorithms, we suggest to engage the support vector machines for attacking the problem. Wedoi:10.1145/1010432.1010563 fatcat:l4o4sivzmzhkjoc3bqkijkapby