This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...
We discuss the problem of fitting an implicit shape model to a set of points sampled from a co-dimension one manifold of arbitrary topology. The method solves a non-convex optimis...
Christian Walder, Olivier Chapelle, Bernhard Sch&o...
The temporal resolution of dynamic MRI can be increased by sampling a fraction of k-space in an interleaved fashion, which causes spatial and temporal aliasing. We describe algebr...
— We present a dynamic optimization approach to save energy in Wireless Sensor Networks (WSN) at the link level. One of the main sources of energy waste in a WSN is idle listenin...
Abstract— In this paper, we present an incremental, multiresolution motion planning algorithm designed for systems with differential constraints. Planning for these sytems is mor...