In the geometric data model [6], spatio-temporal data are modelled as a finite collection of triangles that are transformed by time-dependent affinities. To facilitate querying an...
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
Skyline queries help users make intelligent decisions over complex data, where different and often conflicting criteria are considered. Current skyline computation methods are rest...
Ping Wu, Caijie Zhang, Ying Feng, Ben Y. Zhao, Div...
In this paper, we present novel algorithms that effectively combine physical layout and early logic synthesis to improve overall design quality. In addition, we employ partitionin...
— Network clustering enables us to view a complex network at the macro level, by grouping its nodes into units whose characteristics and interrelationships are easier to analyze ...