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NIPS
2003
13 years 8 months ago
Linear Program Approximations for Factored Continuous-State Markov Decision Processes
Approximate linear programming (ALP) has emerged recently as one of the most promising methods for solving complex factored MDPs with finite state spaces. In this work we show th...
Milos Hauskrecht, Branislav Kveton
PRL
2011
13 years 2 months ago
Efficient approximate Regularized Least Squares by Toeplitz matrix
Machine Learning based on the Regularized Least Square (RLS) model requires one to solve a system of linear equations. Direct-solution methods exhibit predictable complexity and s...
Sergio Decherchi, Paolo Gastaldo, Rodolfo Zunino
VTC
2008
IEEE
153views Communications» more  VTC 2008»
14 years 1 months ago
Symbol Error Rate of Space-Time Coded Multi-Antenna Wireless Cooperative Networks
—In this paper, we propose a generalized cooperative signal transmission model for wireless networks. In this model, the source, the destination, and an arbitrary number of relay...
Javad Vazifehdan, Jos H. Weber
ICASSP
2011
IEEE
12 years 11 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
ICVGIP
2008
13 years 8 months ago
Algebraic Splats Representation for Point Based Models
The primitives of point-based representations are independent but are rendered using surfels, which approximate the immediate neighborhood of each point linearly. A large number o...
Naveen Kumar Bolla, P. J. Narayanan