In pattern recognition, feature vectors are occasionally subject to non-negative constraints. This characteristic can be expressed by a cone in feature vector space. In this paper...
In this paper we propose a new distributed learning method called distributed network boosting (DNB) algorithm for distributed applications. The learned hypotheses are exchanged b...
The Symmetry Set (??) and its subset the Medial Axis (? ), can be used to describe a shape. The representation of the ?? in parameter space is called the pre-Symmetry Set. Changes...
Cost effective systems use specialization to optimize factors such as power consumption, processing throughput, flexibility or combinations thereof. Reconfigurable systems obtain ...
Patrick Schaumont, Ingrid Verbauwhede, Kurt Keutze...
We present a learning framework for Markovian decision processes that is based on optimization in the policy space. Instead of using relatively slow gradient-based optimization al...