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GIS
2009
ACM
14 years 2 months ago
Classification of raster maps for automatic feature extraction
Raster maps are widely available and contain useful geographic features such as labels and road lines. To extract the geographic features, most research work relies on a manual st...
Yao-Yi Chiang, Craig A. Knoblock
BMCBI
2007
96views more  BMCBI 2007»
13 years 10 months ago
Features generated for computational splice-site prediction correspond to functional elements
Background: Accurate selection of splice sites during the splicing of precursors to messenger RNA requires both relatively well-characterized signals at the splice sites and auxil...
Rezarta Islamaj Dogan, Lise Getoor, W. John Wilbur...
ICC
2009
IEEE
150views Communications» more  ICC 2009»
13 years 8 months ago
Efficient Resource Discovery in Mobile Ad Hoc Networks
Abstract--The highly dynamic nature of infrastructureless adhoc networks poses new challenges during resource discovery. In this paper, we propose a novel algorithm for resource di...
Ravi Thanawala, Jie Wu, Avinash Srinivasan
BMCBI
2006
198views more  BMCBI 2006»
13 years 10 months ago
Gene selection and classification of microarray data using random forest
Background: Selection of relevant genes for sample classification is a common task in most gene expression studies, where researchers try to identify the smallest possible set of ...
Ramón Díaz-Uriarte, Sara Alvarez de ...
JCP
2008
167views more  JCP 2008»
13 years 10 months ago
Accelerated Kernel CCA plus SVDD: A Three-stage Process for Improving Face Recognition
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
Ming Li, Yuanhong Hao