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FLAIRS
2009
15 years 4 months ago
Dynamic Programming Approximations for Partially Observable Stochastic Games
Partially observable stochastic games (POSGs) provide a rich mathematical framework for planning under uncertainty by a group of agents. However, this modeling advantage comes wit...
Akshat Kumar, Shlomo Zilberstein
CASES
2010
ACM
15 years 3 months ago
Optimizing energy to minimize errors in dataflow graphs using approximate adders
Approximate arithmetic is a promising, new approach to lowenergy designs while tackling reliability issues. We present a method to optimally distribute a given energy budget among...
Zvi M. Kedem, Vincent John Mooney, Kirthi Krishna ...
TNN
2010
216views Management» more  TNN 2010»
15 years 1 months ago
Simplifying mixture models through function approximation
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
Kai Zhang, James T. Kwok
TSP
2010
15 years 1 months ago
A recursive method for the approximation of LTI systems using subband processing
Using the subband technique, an LTI system can be implemented by the composition of an analysis filterbank, followed by a transfer matrix (subband model) and a synthesis filterbank...
Damián Marelli, Minyue Fu
ICASSP
2011
IEEE
14 years 10 months ago
Approximation of pattern transformation manifolds with parametric dictionaries
The construction of low-dimensional models explaining highdimensional signal observations provides concise and efficient data representations. In this paper, we focus on pattern ...
Elif Vural, Pascal Frossard