We present a technique for organizing data in spatial databases with non-convex domains based on an automatic characterization using the medial-axis transform (MAT). We define a t...
Eric A. Perlman, Randal C. Burns, Michael M. Kazhd...
The ever-increasing amount of data in biomedical research, and in cancer research in particular, needs to be managed to support efficient data access, exchange and integration. Exi...
An important step in Heterogeneous System Development is Hardware/Software Partitioning. This process involves exploring a huge design space. By using profiling to select hot-spo...
Roel Meeuws, Yana Yankova, Koen Bertels, Georgi Ga...
ing with shared data abstractions Simon Dobson1 and Don Goodeve2 1 Well-Founded Systems Unit, CLRC Rutherford Appleton Laboratory, UK 2 School of Computer Studies, University of Le...
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...