Abstract. This paper presents a statistical framework based on Principal Component Analysis (PCA) for discovering the contextual factors which most strongly influence user behavio...
Abstract There has been considerable interest in the identification of structural properties of combinatorial problems that lead to efficient algorithms for solving them. Some of...
Bistra N. Dilkina, Carla P. Gomes, Ashish Sabharwa...
Abstract. We develop a practical, distributed algorithm to detect events, identify measurement errors, and infer missing readings in ecological applications of wireless sensor netw...
In this paper, we present a technique that generalizes 3D building groups of virtual 3D city models according to a cell structure that is derived from infrastructure networks. In ...
Abstract. Cluster ensembles are deemed to be better than single clustering algorithms for discovering complex or noisy structures in data. Various heuristics for constructing such ...