Abstract. This work addresses a class of total-variation based multilabeling problems over a spatially continuous image domain, where the data fidelity term can be any bounded fun...
This paper explores connections between Ficici’s notion of solution concept and order theory. Ficici postulates that algorithms should ascend an order called weak preference; th...
We present a novel boosting algorithm, called SoftBoost, designed for sets of binary labeled examples that are not necessarily separable by convex combinations of base hypotheses....
Manfred K. Warmuth, Karen A. Glocer, Gunnar Rä...
We propose a novel approach to optimize Partially Observable Markov Decisions Processes (POMDPs) defined on continuous spaces. To date, most algorithms for model-based POMDPs are ...
Josep M. Porta, Nikos A. Vlassis, Matthijs T. J. S...
–- To obtain optimal location area (LA) partitioning in cellular radio networks is important since it maximizes the usable bandwidth to support services. However, we feel that th...
Yong Huat Chew, Boon Sain Yeo, Daniel Chien Ming K...