In this paper we unify two supposedly distinct tasks in multimedia retrieval. One task involves answering queries with a few examples. The other involves learning models for seman...
Image clustering is useful in many retrieval and classification applications. The main goal of image clustering is to partition a given dataset into salient clusters such that the...
We introduce a new theoretical derivation, evaluation methods, and extensive empirical analysis for an automatic query expansion framework in which model estimation is cast as a r...
Data intensive applications in Life Sciences extensively use the Hidden Web as a platform for information sharing. Access to these heterogeneous Hidden Web resources is limited thr...
Anupam Bhattacharjee, Aminul Islam, Mohammad Shafk...
XML documents are extremely verbose since the "schema" is repeated for every "record" in the document. While a variety of compressors are available to address ...