Approximate Nearest Neighbor (ANN) methods such as Locality Sensitive Hashing, Semantic Hashing, and Spectral Hashing, provide computationally ecient procedures for nding objects...
Abstract--In contrast to conventional multi-page Web applications, an Ajax application is developed as a single-page application in which content and structure are changed at runti...
Alessandro Marchetto, Paolo Tonella, Filippo Ricca
Recent approaches to learning structured predictors often require approximate inference for tractability; yet its effects on the learned model are unclear. Meanwhile, most learnin...
This paper develops new algorithms for coalition formation within multi-sensor networks tasked with performing widearea surveillance. Specifically, we cast this application as an ...
Viet Dung Dang, Rajdeep K. Dash, Alex Rogers, Nich...
We propose a novel method, based on concepts from expander graphs, to sample communities in networks. We show that our sampling method, unlike previous techniques, produces subgra...