Large scale networked image retrieval systems face a number of problems that are not fully satis ed by current systems. On one hand, integrated solutions that store all image data...
In this paper, we propose an autonomous learning scheme to automatically build visual semantic concept models from the output data of Internet search engines without any manual la...
We introduce a new incremental search method called Migemo for languages with many character faces. Migemo performs the incremental search by dynamically expanding the input patte...
Web search engines today typically show results as a list of titles and short snippets that summarize how the retrieved documents are related to the query. However, recent researc...
Search with synonyms is a challenging problem for Web search, as it can easily cause intent drifting. In this paper, we propose a practical solution to this issue, based on co-cli...