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240views
14 years 5 months ago
Bayesian multitask inverse reinforcement learning
We generalise the problem of inverse reinforcement learning to multiple tasks, from multiple demonstrations. Each one may represent one expert trying to solve a different task, or ...
Christos Dimitrakakis, Constantin A. Rothkopf
ICDE
2004
IEEE
100views Database» more  ICDE 2004»
16 years 8 months ago
Scalable Multimedia Disk Scheduling
A new multimedia disk scheduling algorithm, termed Cascaded-SFC, is presented. The Cascaded-SFC multimedia disk scheduler is applicable in environments where multimedia data reque...
Mohamed F. Mokbel, Walid G. Aref, Khaled M. Elbass...
MICCAI
2005
Springer
16 years 7 months ago
Multiscale 3D Shape Analysis Using Spherical Wavelets
Shape priors attempt to represent biological variations within a population. When variations are global, Principal Component Analysis (PCA) can be used to learn major modes of vari...
Delphine Nain, Steven Haker, Aaron F. Bobick, Alle...
INFOCOM
2009
IEEE
16 years 1 months ago
Full-Coverage and k-Connectivity (k=14, 6) Three Dimensional Networks
—In this paper, we study the problem of constructing full-coverage three dimensional networks with multiple connectivity. We design a set of patterns for full coverage and two re...
Xiaole Bai, Chuanlin Zhang, Dong Xuan, Weijia Jia
ICC
2007
IEEE
117views Communications» more  ICC 2007»
16 years 1 months ago
Radio Channel Modelling Using Stochastic Propagation Graphs
Abstract— In this contribution the radio channel model proposed in [1] is extended to include multiple transmitters and receivers. The propagation environment is modelled using r...
Troels Pedersen, Bernard H. Fleury