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ICA
2004
Springer
13 years 10 months ago
Approximate Joint Diagonalization Using a Natural Gradient Approach
We present a new algorithm for non-unitary approximate joint diagonalization (AJD), based on a “natural gradient”-type multiplicative update of the diagonalizing matrix, comple...
Arie Yeredor, Andreas Ziehe, Klaus-Robert Mül...
ICA
2004
Springer
13 years 10 months ago
Some Gradient Based Joint Diagonalization Methods for ICA
Abstract. We present a set of gradient based orthogonal and nonorthogonal matrix joint diagonalization algorithms. Our approach is to use the geometry of matrix Lie groups to devel...
Bijan Afsari, Perinkulam S. Krishnaprasad
ECAI
2008
Springer
13 years 6 months ago
Exploiting locality of interactions using a policy-gradient approach in multiagent learning
In this paper, we propose a policy gradient reinforcement learning algorithm to address transition-independent Dec-POMDPs. This approach aims at implicitly exploiting the locality...
Francisco S. Melo
TIP
2008
128views more  TIP 2008»
13 years 4 months ago
Blind Separation of Superimposed Shifted Images Using Parameterized Joint Diagonalization
We consider the blind separation of source images from linear mixtures thereof, involving different relative spatial shifts of the sources in each mixture. Such mixtures can be cau...
E. Be'ery, Arie Yeredor
SIP
2003
13 years 6 months ago
Time Domain Optimization Techniques for Blind Separation of Non-stationary Convolutive Mixed Signals
This paper aims to solve the problem of Blind Signal Separation (BSS) in a convolutive environment based on output correlation matrix diagonalization. Firstly an extension of the ...
Iain Russell, Alfred Mertins, Jiangtao Xi