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ROBOCUP
2007
Springer
153views Robotics» more  ROBOCUP 2007»
16 years 1 months ago
Model-Based Reinforcement Learning in a Complex Domain
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Shivaram Kalyanakrishnan, Peter Stone, Yaxin Liu
199
Voted
AINA
2006
IEEE
16 years 1 months ago
Simulation Architecture for Data Processing Algorithms in Wireless Sensor Networks
Abstract— Wireless sensor networks, by providing an unprecedented way of interacting with the physical environment, have become a hot topic for research over the last few years. ...
Yann-Aël Le Borgne, Mehdi Moussaid, Gianluca ...
CVPR
2006
IEEE
16 years 1 months ago
Cosegmentation of Image Pairs by Histogram Matching - Incorporating a Global Constraint into MRFs
We introduce the term cosegmentation which denotes the task of segmenting simultaneously the common parts of an image pair. A generative model for cosegmentation is presented. Inf...
Carsten Rother, Thomas P. Minka, Andrew Blake, Vla...
DEXAW
2006
IEEE
179views Database» more  DEXAW 2006»
16 years 1 months ago
Opportunistic Networks: Challenges in Specializing the P2P Paradigm
We introduce the notion of opportunistic networks or oppnets, some of which can be considered a subclass of the peer-to-peer (P2P) networks. Initially, a relatively small seed opp...
Leszek Lilien, Zille Huma Kamal, Ajay K. Gupta
179
Voted
FDL
2006
IEEE
16 years 1 months ago
Functional Virtual Prototyping Design Flow and VHDL-AMS
Needs in the worldwide competition push teams to master more and more their design flow in order to minimize risks, costs, time to market, and potential liabilities. The classical...
Yannick Hervé, Patricia Desgreys