This paper describes BoostMap, a method for efficient nearest neighbor retrieval under computationally expensive distance measures. Database and query objects are embedded into a v...
Vassilis Athitsos, Jonathan Alon, Stan Sclaroff, G...
The complexity and size of data is rapidly increasing in modern science, business and engineering. This has resulted in increasing demands for more sophisticated data analysis met...
This work describes a new mapping technique, RAM-MAP, that identifies parts of circuits that can be efficiently mapped into the synchronous embedded memories found on field prog...
Gordon R. Chiu, Deshanand P. Singh, Valavan Manoha...
This paper presents our ongoing effort on developing a principled methodology for automatic ontology mapping based on BayesOWL, a probabilistic framework we developed for modeling ...
Selecting items from lists is a common task in many applications. Alphabetically-sorted listboxes are the most common interface widget used to accomplish this selection, but altho...