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ICCAD
2003
IEEE
161views Hardware» more  ICCAD 2003»
14 years 4 months ago
A General S-Domain Hierarchical Network Reduction Algorithm
This paper presents an efficient method to reduce complexities of a linear network in s-domain. The new method works on circuit matrices directly and reduces the circuit complexi...
Sheldon X.-D. Tan
JAIR
2008
126views more  JAIR 2008»
13 years 7 months ago
Optimal and Approximate Q-value Functions for Decentralized POMDPs
Decision-theoretic planning is a popular approach to sequential decision making problems, because it treats uncertainty in sensing and acting in a principled way. In single-agent ...
Frans A. Oliehoek, Matthijs T. J. Spaan, Nikos A. ...
VALUETOOLS
2006
ACM
125views Hardware» more  VALUETOOLS 2006»
14 years 1 months ago
An approximative method for calculating performance measures of Markov processes
We present a new approximation method called value extrapolation for Markov processes with large or infinite state spaces. The method can be applied for calculating any performan...
Juha Leino, Jorma T. Virtamo
VMV
2000
119views Visualization» more  VMV 2000»
13 years 8 months ago
Orientation Estimation Based on Weighted Projection onto Quadratic Polynomials
Essentially all Computer Vision strategies require initial computation of orientation structure or motion estimation. Although much work has been invested in this subfield, method...
Gunnar Farnebäck
HICSS
1994
IEEE
149views Biometrics» more  HICSS 1994»
13 years 11 months ago
Stochastic Problem Solving by Local Computation Based on Self-Organization Paradigm
We are developing a new problem-solving methodology based on a self-organization paradigm. To realize our future goal of self-organizing computational systems, we have to study co...
Yasusi Kanada, Masao Hirokawa