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ICDE
2008
IEEE
158views Database» more  ICDE 2008»
16 years 29 days ago
CARE: Finding Local Linear Correlations in High Dimensional Data
Finding latent patterns in high dimensional data is an important research problem with numerous applications. Existing approaches can be summarized into 3 categories: feature selec...
Xiang Zhang, Feng Pan, Wei Wang
112
Voted
BMCBI
2008
166views more  BMCBI 2008»
14 years 11 months ago
Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual informa
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
Weijun Luo, Kurt D. Hankenson, Peter J. Woolf
ICIP
1998
IEEE
16 years 1 months ago
Invariant-based Data Model for Image Databases
We describe a new invariant-based data model for image databases under our approach for shape-based retrieval. The data model relies on contours description of the image shape, an...
Michael Kliot, Ehud Rivlin
ICCV
2009
IEEE
14 years 9 months ago
Shape analysis with multivariate tensor-based morphometry and holomorphic differentials
In this paper, we propose multivariate tensor-based surface morphometry, a new method for surface analysis, using holomorphic differentials; we also apply it to study brain anatom...
Yalin Wang, Tony F. Chan, Arthur W. Toga, Paul M. ...
BMCBI
2008
98views more  BMCBI 2008»
14 years 11 months ago
Empirical Bayes models for multiple probe type microarrays at the probe level
Background: When analyzing microarray data a primary objective is often to find differentially expressed genes. With empirical Bayes and penalized t-tests the sample variances are...
Magnus Åstrand, Petter Mostad, Mats Rudemo