Small-sample learning in image retrieval is a pertinent and interesting problem. Relevance feedback is an active area of research that seeks to find algorithms that are robust wi...
Charlie K. Dagli, ShyamSundar Rajaram, Thomas S. H...
In this paper, we study how to automatically exploit visual concepts in a text-based image retrieval task. First, we use Forest of Fuzzy Decision Trees (FFDTs) to automatically ann...
Sabrina Tollari, Marcin Detyniecki, Christophe Mar...
Long-term search history contains rich information about a user's search preferences. In this paper, we study statistical language modeling based methods to mine contextual i...
Large collections of documents containing various types of multimedia, are made available to the WWW. Unfortunately, due to the un-structuredness of Internet environments it is ha...
Concurrent compositions of recursive programs with finite a natural abstraction model for concurrent programs. Since reachability is undecidable for this class, a restricted form ...
Salvatore La Torre, Parthasarathy Madhusudan, Genn...