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» Evaluating Feature Selection for SVMs in High Dimensions
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MICCAI
2006
Springer
16 years 1 months ago
Anisotropic Feature Extraction from Endoluminal Images for Detection of Intestinal Contractions
Wireless endoscopy is a very recent and at the same time unique technique allowing to visualize and study the occurrence of contractions and to analyze the intestine motility. Feat...
Fernando Azpiroz, Fernando Vilariño, Jordi ...
BMVC
1997
15 years 1 months ago
Employing Region Features for Searching an Image Database
This paper describes recent work on the use of regional data extracted from segmented images for use as search keys in an image database query system. The motivation for this work...
Matthew E. J. Wood, Neill W. Campbell, Barry T. Th...
98
Voted
BMCBI
2010
116views more  BMCBI 2010»
15 years 17 days ago
FiGS: a filter-based gene selection workbench for microarray data
Background: The selection of genes that discriminate disease classes from microarray data is widely used for the identification of diagnostic biomarkers. Although various gene sel...
Taeho Hwang, Choong-Hyun Sun, Taegyun Yun, Gwan-Su...
BMCBI
2010
208views more  BMCBI 2010»
15 years 17 days ago
A multi-filter enhanced genetic ensemble system for gene selection and sample classification of microarray data
Background: Feature selection techniques are critical to the analysis of high dimensional datasets. This is especially true in gene selection from microarray data which are common...
Pengyi Yang, Bing Bing Zhou, Zili Zhang, Albert Y....
105
Voted
ICDM
2009
IEEE
156views Data Mining» more  ICDM 2009»
14 years 10 months ago
Scalable Classification in Large Scale Spatiotemporal Domains Applied to Voltage-Sensitive Dye Imaging
We present an approach for learning models that obtain accurate classification of large scale data objects, collected in spatiotemporal domains. The model generation is structured ...
Igor Vainer, Sarit Kraus, Gal A. Kaminka, Hamutal ...