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ICA
2004
Springer
13 years 10 months ago
ICA Using Kernel Entropy Estimation with NlogN Complexity
Abstract. Mutual information (MI) is a common criterion in independent component analysis (ICA) optimization. MI is derived from probability density functions (PDF). There are scen...
Sarit Shwartz, Michael Zibulevsky, Yoav Y. Schechn...
CORR
2010
Springer
154views Education» more  CORR 2010»
13 years 5 months ago
Causal Markov condition for submodular information measures
The causal Markov condition (CMC) is a postulate that links observations to causality. It describes the conditional independences among the observations that are entailed by a cau...
Bastian Steudel, Dominik Janzing, Bernhard Sch&oum...
ICIP
2009
IEEE
14 years 6 months ago
Optimal Detection And Tracking Of Feature Points Using Mutual Information
This paper proposes a new way to achieve feature point tracking using the entropy of the image. Sum of Squared Differences (SSD) is widely considered in differential trackers such ...
BIBM
2008
IEEE
107views Bioinformatics» more  BIBM 2008»
13 years 11 months ago
A Functional Network of Yeast Genes Using Gene Ontology Information
In the post-genomic era, the organization of genes into networks has played an important role in characterizing the functions of individual genes and the interplay between them. I...
Erliang Zeng, Giri Narasimhan, Lisa Schneper, Kala...
BMCBI
2010
148views more  BMCBI 2010»
13 years 5 months ago
Structuring heterogeneous biological information using fuzzy clustering of k-partite graphs
Background: Extensive and automated data integration in bioinformatics facilitates the construction of large, complex biological networks. However, the challenge lies in the inter...
Mara L. Hartsperger, Florian Blöchl, Volker S...