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TIT
1998
102views more  TIT 1998»
13 years 7 months ago
On Characterization of Entropy Function via Information Inequalities
—Given n discrete random variables = fX1;111; Xng, associated with any subset of f1; 2; 111; ng, there is a joint entropy H(X ) where X = fXi:i 2 g. This can be viewed as a f...
Zhen Zhang, Raymond W. Yeung
CVPR
2003
IEEE
14 years 9 months ago
What is the Space of Camera Response Functions?
Many vision applications require precise measurement of scene radiance. The function relating scene radiance to image brightness is called the camera response. We analyze the prop...
Michael D. Grossberg, Shree K. Nayar
ICML
1996
IEEE
14 years 8 months ago
Learning Evaluation Functions for Large Acyclic Domains
Some of the most successful recent applications of reinforcement learning have used neural networks and the TD algorithm to learn evaluation functions. In this paper, we examine t...
Justin A. Boyan, Andrew W. Moore
PRICAI
2000
Springer
13 years 11 months ago
Functional Understanding Based on an Ontology of Functional Concepts
Abstract. This article discusses automatic identifications of functional structures of artifacts from given behavioral models of components and their connection information (called...
Yoshinobu Kitamura, Toshinobu Sano, Riichiro Mizog...
JCT
2006
87views more  JCT 2006»
13 years 7 months ago
Construction of bent functions via Niho power functions
A Boolean function with an even number n = 2k of variables is called bent if it is maximally nonlinear. We present here a new construction of bent functions. Boolean functions of ...
Hans Dobbertin, Gregor Leander, Anne Canteaut, Cla...