We propose an unconventional but highly effective approach
to robust fitting of multiple structures by using statistical
learning concepts. We design a novel Mercer kernel
for t...
—We propose an interference-aware MAC protocol using a simple transmission strategy motivated by a gametheoretic approach. We formulate a channel access game, which considers nod...
Over the years, many successful applications of case-based reasoning (CBR) systems have been developed in different areas. The performance of CBR systems depends on several factor...
Inductive databases (IDBs) have been proposed to afford the problem of knowledge discovery from huge databases. With an IDB the user/analyst performs a set of very different operat...
Many applications in NLP, such as questionanswering and summarization, either require or would greatly benefit from the knowledge of when an event occurred. Creating an effective ...