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JACIII
2007
99views more  JACIII 2007»
13 years 8 months ago
Asymptotic Behavior of Linear Approximations of Pseudo-Boolean Functions
We study the problem of approximating pseudoBoolean functions by linear pseudo-Boolean functions. Pseudo-Boolean functions generalize ordinary Boolean functions by allowing the fu...
Guoli Ding, Robert F. Lax, Peter P. Chen, Jianhua ...
IPSN
2004
Springer
14 years 1 months ago
Estimation from lossy sensor data: jump linear modeling and Kalman filtering
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
PR
2006
88views more  PR 2006»
13 years 8 months ago
Directional features in online handwriting recognition
The selection of valuable features is crucial in pattern recognition. In this paper we deal with the issue that part of features originate from directional instead of common linea...
Claus Bahlmann
CSCLP
2008
Springer
13 years 10 months ago
An Efficient Decision Procedure for Functional Decomposable Theories Based on Dual Constraints
Abstract. Over the last decade, first-order constraints have been efficiently used in the artificial intelligence world to model many kinds of complex problems such as: scheduling,...
Khalil Djelloul
TOPLAS
2008
81views more  TOPLAS 2008»
13 years 8 months ago
Size-change termination with difference constraints
lem of inferring termination from such abstract information is not the halting problem for programs and may well be decidable. If this is the case, the decision algorithm forms a &...
Amir M. Ben-Amram