This paper presents a cost-effective peer-to-peer (P2P) architecture for large-scale on-demand media streaming, named BitVampire. BitVampire's primary design goal is to aggreg...
Markov decisionprocesses(MDPs) haveproven to be popular models for decision-theoretic planning, but standard dynamic programming algorithms for solving MDPs rely on explicit, stat...
Abstract. Visual dictionary learning and base (binary) classifier training are two basic problems for the recently most popular image categorization framework, which is based on t...
entifies three levels of abstraction for resource requirements a service provider needs to manage, detailed specification of raw resources, virtualization of heterogeneous resource...
Asit Dan, Kavitha Ranganathan, Catalin Dumitrescu,...
Abstract-- Local convergence is a limitation of many optimization approaches for multimodal functions. For hybrid model learning, this can mean a compromise in accuracy. We develop...