To understand how people search for a known target item in an unordered pull-down menu, this research presents cognitive models that vary serial versus parallel processing of menu...
Image search engines tend to return a large number of images which the engines consider to be relevant, and such pool of results generally is very large and may be regarded to be ...
In this article, we review the major paradigms for approximate similarity queries and propose a classification schema that easily allows existing approaches to be compared along ...
Aspect-based relevance learning is a relevance feedback scheme based on a natural model of relevance in terms of image aspects. In this paper we propose a number of active learning...
This paper proposes a strategy to reduce the amount of hardware involved in the solution of search engine queries. It proposes using a secondary compact cache that keeps minimal i...