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» Entropy of Discrete Fuzzy Measures
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ICDM
2009
IEEE
97views Data Mining» more  ICDM 2009»
14 years 2 months ago
Hierarchical Probabilistic Segmentation of Discrete Events
—Segmentation, the task of splitting a long sequence of discrete symbols into chunks, can provide important information about the nature of the sequence that is understandable to...
Guy Shani, Christopher Meek, Asela Gunawardana
TFS
2011
264views Education» more  TFS 2011»
13 years 2 months ago
Information Granularity in Fuzzy Binary GrC Model
—Zadeh’s seminal work in theory of fuzzy-information3 granulation in human reasoning is inspired by the ways in which4 humans granulate information and reason with it. This has...
Yuhua Qian, Jiye Liang, W.-z. Z. Wu, Chuangyin Dan...
MCS
2004
Springer
14 years 28 days ago
A Probabilistic Model Using Information Theoretic Measures for Cluster Ensembles
Abstract. This paper presents a probabilistic model for combining cluster ensembles utilizing information theoretic measures. Starting from a co-association matrix which summarizes...
Hanan Ayad, Otman A. Basir, Mohamed Kamel
ICIP
2003
IEEE
14 years 9 months ago
Shape analysis algorithm based on information theory
In this paper, we describe an algorithm to measure the shape complexity for discrete approximations of planar curves in 2D images and manifold surfaces for 3D triangle meshes. We ...
Andreas Koschan, Besma Roui-Abidi, David L. Page, ...
STOC
2005
ACM
150views Algorithms» more  STOC 2005»
14 years 8 months ago
Correcting errors without leaking partial information
This paper explores what kinds of information two parties must communicate in order to correct errors which occur in a shared secret string W. Any bits they communicate must leak ...
Yevgeniy Dodis, Adam Smith