TIT
2008
13 years 4 months ago
2008
A popular way to measure the degree of dependence between two random objects is by their mutual information, defined as the divergence between the joint and product-of-marginal dis...
TCBB
2008
13 years 4 months ago
2008
Recently, the concept of mutual information has been proposed for inferring the structure of genetic regulatory networks from gene expression profiling. After analyzing the limitat...
AMAI
2005
Springer
13 years 4 months ago
2005
Springer
Abstract. This paper is concerned with the reliable inference of optimal treeapproximations to the dependency structure of an unknown distribution generating data. The traditional ...
ADT
2005
13 years 4 months ago
2005
For coded transmission over a memoryless channel, two kinds of mutual information are considered: the mutual information between a code symbol and its noisy observation and the ove...
PAMI
2008
13 years 4 months ago
2008
Mutual Information (MI) is popular for registration via function optimization. This work proposes an inverse compositional formulation of MI for Levenberg-Marquardt optimization. T...
NECO
2008
13 years 4 months ago
2008
A new gradient technique is introduced for linear ICA based on the Edgeworth expansion of mutual information, for which the algorithm operates sequentially using fixed-point itera...
NECO
2008
13 years 4 months ago
2008
We introduce a new approach to constrained Independent Component Analysis (ICA) by formulating the original, unconstrained ICA problem as well as the constraints in mutual informa...
JIS
2006
13 years 4 months ago
2006
Query expansion terms are often used to enhance original query formulations in document retrieval. Such terms are usually selected from the entire documents or from windows or pas...
KAIS
2008
13 years 4 months ago
2008
Abstract. Quantitative Association Rule (QAR) mining has been recognized an influential research problem over the last decade due to the popularity of quantitative databases and th...
JMLR
2008
13 years 4 months ago
2008
When monitoring spatial phenomena, which can often be modeled as Gaussian processes (GPs), choosing sensor locations is a fundamental task. There are several common strategies to ...