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BMCBI
2006
203views more  BMCBI 2006»
13 years 6 months ago
Independent component analysis reveals new and biologically significant structures in micro array data
Background: An alternative to standard approaches to uncover biologically meaningful structures in micro array data is to treat the data as a blind source separation (BSS) problem...
Attila Frigyesi, Srinivas Veerla, David Lindgren, ...
MICCAI
2010
Springer
13 years 5 months ago
Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis
The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...
Vincent Michel, Evelyn Eger, Christine Keribin, Be...
CSFW
2011
IEEE
12 years 6 months ago
Local Memory via Layout Randomization
—Randomization is used in computer security as a tool to introduce unpredictability into the software infrastructure. In this paper, we study the use of randomization to achieve ...
Radha Jagadeesan, Corin Pitcher, Julian Rathke, Ja...
COGSCI
2008
90views more  COGSCI 2008»
13 years 6 months ago
Using fMRI to Test Models of Complex Cognition
This article investigates the potential of fMRI to test assumptions about different components in models of complex cognitive tasks. If the components of a model can be associated...
John R. Anderson, Cameron S. Carter, Jon M. Fincha...
KDD
2007
ACM
167views Data Mining» more  KDD 2007»
14 years 7 months ago
Generalized component analysis for text with heterogeneous attributes
We present a class of richly structured, undirected hidden variable models suitable for simultaneously modeling text along with other attributes encoded in different modalities. O...
Xuerui Wang, Chris Pal, Andrew McCallum