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» Relative Entropy and Statistics
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74
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ACL
2000
14 years 11 months ago
A Maximum Entropy/Minimum Divergence Translation Model
I describe two methods for incorporating information about the relative positions of bilingual word pairs into a Maximum Entropy/Minimum Divergence translation model. The better o...
George F. Foster
NIPS
2004
14 years 11 months ago
Joint MRI Bias Removal Using Entropy Minimization Across Images
The correction of bias in magnetic resonance images is an important problem in medical image processing. Most previous approaches have used a maximum likelihood method to increase...
Erik G. Learned-Miller, Parvez Ahammad
74
Voted
IMA
2009
Springer
113views Cryptology» more  IMA 2009»
15 years 4 months ago
On Linear Cryptanalysis with Many Linear Approximations
Abstract. In this paper we present a theoretical framework to quantify the information brought by several linear approximations of a blockcipher without putting any restriction on ...
Benoît Gérard, Jean-Pierre Tillich
87
Voted
ICPR
2004
IEEE
15 years 11 months ago
To FRAME or not to FRAME in Probabilistic Texture Modelling?
The maximum entropy principle is a cornerstone of FRAME (Filters, RAndom fields, and Maximum Entropy) model considered at times as a first-ever step towards a universal theory of ...
Georgy L. Gimel'farb, Luc J. Van Gool, Alexey Zale...
72
Voted
SSIAI
2000
IEEE
15 years 2 months ago
Modulation Domain Image Segmentation
We present a modulation domain technique for segmenting textured images modeled as 2-D multicomponent AMFM functions. A Gabor filterbank is used to derive estimates of the domina...
Tanachit Tangsukson, Joseph P. Havlicek