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» Estimating Entropy and Entropy Norm on Data Streams
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BMCBI
2008
138views more  BMCBI 2008»
14 years 9 months ago
Information transfer in signaling pathways: A study using coupled simulated and experimental data
Background: The topology of signaling cascades has been studied in quite some detail. However, how information is processed exactly is still relatively unknown. Since quite divers...
Jürgen Pahle, Anne K. Green, C. Jane Dixon, U...
116
Voted
MICCAI
2006
Springer
15 years 10 months ago
Multi-modal Image Registration Using the Generalized Survival Exponential Entropy
Abstract. This paper introduces a new similarity measure for multimodal image registration task. The measure is based on the generalized survival exponential entropy (GSEE) and mut...
Shu Liao, Albert C. S. Chung
ICML
2010
IEEE
14 years 9 months ago
Nonparametric Information Theoretic Clustering Algorithm
In this paper we propose a novel clustering algorithm based on maximizing the mutual information between data points and clusters. Unlike previous methods, we neither assume the d...
Lev Faivishevsky, Jacob Goldberger
TSP
2010
14 years 4 months ago
On entropy rate for the complex domain and its application to i.i.d. sampling
We derive the entropy rate formula for a complex Gaussian random process by using a widely linear model. The resulting expression is general and applicable to both circular and non...
Wei Xiong, Hualiang Li, Tülay Adali, Yi-Ou Li...
95
Voted
TCBB
2010
176views more  TCBB 2010»
14 years 7 months ago
Feature Selection for Gene Expression Using Model-Based Entropy
—Gene expression data usually contain a large number of genes, but a small number of samples. Feature selection for gene expression data aims at finding a set of genes that best...
Shenghuo Zhu, Dingding Wang, Kai Yu, Tao Li, Yihon...