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» Redundancy based feature selection for microarray data
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BMCBI
2008
103views more  BMCBI 2008»
14 years 10 months ago
Discovering multi-level structures in bio-molecular data through the Bernstein inequality
Background: The unsupervised discovery of structures (i.e. clusterings) underlying data is a central issue in several branches of bioinformatics. Methods based on the concept of s...
Alberto Bertoni, Giorgio Valentini
ECCV
2006
Springer
15 years 11 months ago
A Simple Solution to the Six-Point Two-View Focal-Length Problem
Abstract. This paper presents a simple and practical solution to the 6-point 2view focal-length estimation problem. Based on the hidden-variable technique we have derived a 15th de...
Hongdong Li
CVPR
2012
IEEE
13 years 7 days ago
Keystroke dynamics for user authentication
In this paper we investigate the problem of user authentication using keystroke biometrics. A new distance metric that is effective in dealing with the challenges intrinsic to key...
Yu Zhong, Yunbin Deng, Anil K. Jain
IDA
2002
Springer
14 years 9 months ago
Evolutionary model selection in unsupervised learning
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
YongSeog Kim, W. Nick Street, Filippo Menczer
DMIN
2009
185views Data Mining» more  DMIN 2009»
14 years 7 months ago
A Sparse Coding Based Similarity Measure
In high dimensional data sets not all dimensions contain an equal amount of information and most of the time global features are more important than local differences. This makes ...
Sebastian Klenk, Gunther Heidemann