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AAMAS
2010
Springer
13 years 7 months ago
Coordinated learning in multiagent MDPs with infinite state-space
Abstract In this paper we address the problem of simultaneous learning and coordination in multiagent Markov decision problems (MMDPs) with infinite state-spaces. We separate this ...
Francisco S. Melo, M. Isabel Ribeiro
FGR
2004
IEEE
131views Biometrics» more  FGR 2004»
13 years 11 months ago
Active Morphable Model: An Efficient Method for Face Analysis
Multidimensional Morphable Model is a powerful model to analyze and synthesize human faces. However, the stochastic gradient descent algorithm adopted to match the Morphable Model...
Xun Xu, Changshui Zhang, Thomas S. Huang
EWSN
2007
Springer
14 years 7 months ago
An Energy-Efficient K-Hop Clustering Framework for Wireless Sensor Networks
Many applications in wireless sensor networks (WSNs) benefit significantly from organizing nodes into groups, called clusters, because data aggregation and data filtering applied i...
Quanbin Chen, Jian Ma, Yanmin Zhu, Dian Zhang, Lio...
TIT
2010
155views Education» more  TIT 2010»
13 years 2 months ago
On the capacity achieving covariance matrix for Rician MIMO channels: an asymptotic approach
In this contribution, the capacity-achieving input covariance matrices for coherent blockfading correlated MIMO Rician channels are determined. In contrast with the Rayleigh and u...
Julien Dumont, Walid Hachem, Samson Lasaulce, Phil...
FOCI
2007
IEEE
14 years 1 months ago
Almost All Learning Machines are Singular
— A learning machine is called singular if its Fisher information matrix is singular. Almost all learning machines used in information processing are singular, for example, layer...
Sumio Watanabe