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» On Estimating Mutual Information for Feature Selection
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BMCBI
2008
87views more  BMCBI 2008»
15 years 2 months ago
Identification of deleterious non-synonymous single nucleotide polymorphisms using sequence-derived information
Background: As the number of non-synonymous single nucleotide polymorphisms (nsSNPs), also known as single amino acid polymorphisms (SAPs), increases rapidly, computational method...
Jing Hu, Changhui Yan
CVPR
2006
IEEE
15 years 3 months ago
3-D Shape Reconstruction of Retinal Fundus
We present a method for 3-D shape reconstruction of retinal fundus from fluorescein images. Our method extracts the location of vessels' bifurcation as a reliable feature for...
Tae Eun Choe, Isaac Cohen, Gérard G. Medion...
IDA
2002
Springer
15 years 1 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
BMCBI
2005
190views more  BMCBI 2005»
15 years 1 months ago
An Entropy-based gene selection method for cancer classification using microarray data
Background: Accurate diagnosis of cancer subtypes remains a challenging problem. Building classifiers based on gene expression data is a promising approach; yet the selection of n...
Xiaoxing Liu, Arun Krishnan, Adrian Mondry
ICCV
2001
IEEE
16 years 3 months ago
The Variable Bandwidth Mean Shift and Data-Driven Scale Selection
We present two solutions for the scale selection problem in computer vision. The rst one is completely nonparametric and is based on the the adaptive estimation of the normalized ...
Dorin Comaniciu, Visvanathan Ramesh, Peter Meer