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» Robust information-theoretic clustering
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ICML
2009
IEEE
14 years 6 months ago
Robust feature extraction via information theoretic learning
In this paper, we present a robust feature extraction framework based on informationtheoretic learning. Its formulated objective aims at simultaneously maximizing the Renyi's...
Xiaotong Yuan, Bao-Gang Hu
JOC
2007
93views more  JOC 2007»
13 years 5 months ago
Robust Information-Theoretic Private Information Retrieval
A Private Information Retrieval (PIR) protocol allows a user to retrieve a data item of its choice from a database, such that the servers storing the database do not gain informat...
Amos Beimel, Yoav Stahl
IPMI
2003
Springer
14 years 6 months ago
A New & Robust Information Theoretic Measure and Its Application to Image Alignment
In this paper we develop a novel measure of information in a random variable based on its cumulative distribution that we dub cumulative residual entropy (CRE). This measure parall...
Fei Wang, Baba C. Vemuri, Murali Rao, Yunmei Chen
ICML
2009
IEEE
14 years 6 months ago
Information theoretic measures for clusterings comparison: is a correction for chance necessary?
Information theoretic based measures form a fundamental class of similarity measures for comparing clusterings, beside the class of pair-counting based and set-matching based meas...
Xuan Vinh Nguyen, Julien Epps, James Bailey
EMMCVPR
2005
Springer
13 years 10 months ago
Optimizing the Cauchy-Schwarz PDF Distance for Information Theoretic, Non-parametric Clustering
This paper addresses the problem of efficient information theoretic, non-parametric data clustering. We develop a procedure for adapting the cluster memberships of the data pattern...
Robert Jenssen, Deniz Erdogmus, Kenneth E. Hild II...