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ICASSP
2010
IEEE
13 years 8 months ago
Learning sparse systems at sub-Nyquist rates: A frequency-domain approach
We propose a novel algorithm for sparse system identification in the frequency domain. Key to our result is the observation that the Fourier transform of the sparse impulse respo...
Martin McCormick, Yue M. Lu, Martin Vetterli
ICASSP
2011
IEEE
13 years 12 days ago
Joint blind source separation from second-order statistics: Necessary and sufficient identifiability conditions
This paper considers the problem of joint blind source separation (J-BSS), which appears in many practical problems such as blind deconvolution or functional magnetic resonance im...
Javier Vía, Matthew Anderson, Xi-Lin Li, T&...
ICALP
1997
Springer
14 years 25 days ago
Axiomatizations for the Perpetual Loop in Process Algebra
Abstract. Milner proposed an axiomatization for the Kleene star in basic process algebra, in the presence of deadlock and empty process, modulo bisimulation equivalence. In this pa...
Wan Fokkink
AIMSA
2004
Springer
14 years 12 days ago
Towards Well-Defined Multi-agent Reinforcement Learning
Multi-agent reinforcement learning (MARL) is an emerging area of research. However, it lacks two important elements: a coherent view on MARL, and a well-defined problem objective. ...
Rinat Khoussainov
AAAI
1997
13 years 10 months ago
Model Minimization in Markov Decision Processes
Many stochastic planning problems can be represented using Markov Decision Processes (MDPs). A difficulty with using these MDP representations is that the common algorithms for so...
Thomas Dean, Robert Givan