This paper presents a novel algorithm to cluster emails according to their contents and the sentence styles of their subject lines. In our algorithm, natural language processing t...
In many topic identification applications, supervised training labels are indirectly related to the semantic content of the documents being classified. For example, many topical...
In many image retrieval applications, the mapping between highlevel semantic concept and low-level features is obtained through a learning process. Traditional approaches often as...
Statistical modeling for content based retrieval is examined in the context of recent TREC Video benchmark exercise. The TREC Video exercise can be viewed as a test bed for evalua...
Milind R. Naphade, Sankar Basu, John R. Smith, Chi...
In this work we propose an intuitive graphic framework for the effective visualization of MPEG-7 low-level features, in the context of classification and annotation of audio-visu...
Marco Campanella, Riccardo Leonardi, Pierangelo Mi...