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ICONIP
2004
13 years 10 months ago
Variational Information Maximization for Neural Coding
Abstract. Mutual Information (MI) is a long studied measure of coding efficiency, and many attempts to apply it to population coding have been made. However, this is a computationa...
Felix V. Agakov, David Barber
JCP
2006
129views more  JCP 2006»
13 years 8 months ago
Cancer Classification With MicroRNA Expression Patterns Found By An Information Theory Approach
Abstract-- Some non-coding small RNAs, known as microRNAs (miRNAs), have been shown to play important roles in gene regulation and various biological processes. The abnormal expres...
Yun Zheng, Chee Keong Kwoh
ICASSP
2011
IEEE
13 years 17 days ago
Stochastic transceiver design in multi-antenna channels with statistical channel state information
The problem of stochastic robust sum mean square error (MSE) minimization transceiver design is addressed for multiple-input multiple-output (MIMO) broadcast channels (BCs). The t...
Andreas Gründinger, Michael Joham, Wolfgang U...
ICIP
2003
IEEE
14 years 10 months ago
Incorporating complex statistical information in active contour-based image segmentation
We propose an information-theoretic method for multi-phase image segmentation, in an active contour-based framework. Our approach is based on nonparametric density estimates, and ...
Alan S. Willsky, Anthony J. Yezzi, John W. Fisher ...
ICDE
2006
IEEE
130views Database» more  ICDE 2006»
14 years 10 months ago
MIC Framework: An Information-Theoretic Approach to Quantitative Association Rule Mining
We propose a framework, called MIC, which adopts an information-theoretic approach to address the problem of quantitative association rule mining. In our MIC framework, we first d...
Yiping Ke, James Cheng, Wilfred Ng