This paper is concerned with actively predicting search intent from user browsing behavior data. In recent years, great attention has been paid to predicting user search intent. H...
We introduce the problem of repetitive nearest neighbor search in relevance feedback and propose an efficient search scheme for high dimensional feature spaces. Relevance feedback...
Web image search using text queries has received considerable attention. However, current state-of-the-art approaches require training models for every new query, and are therefore...
Josip Krapac, Moray Allan, Jakob Verbeek, Frédér...
In order to deal with the diversified nature of XML documents as well as individual user preferences, we propose a novel Multiodel (MRM), which is able to abstract a spectrum of i...
This paper describes an approach to the use of gradient descent search in genetic programming (GP) for object classification problems. In this approach, pixel statistics are used ...