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» Spike Feature Extraction Using Informative Samples
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ICUIMC
2009
ACM
14 years 2 months ago
PicAChoo: a tool for customizable feature extraction utilizing characteristics of textual data
Although documents have hundreds of thousands of unique words, only a small number of words are significantly useful for intelligent services. For this reason, feature extraction ...
Jaeseok Myung, Jung-Yeon Yang, Sang-goo Lee
BMCBI
2010
154views more  BMCBI 2010»
13 years 8 months ago
EnvMine: A text-mining system for the automatic extraction of contextual information
Background: For ecological studies, it is crucial to count on adequate descriptions of the environments and samples being studied. Such a description must be done in terms of thei...
Javier Tamames, Victor de Lorenzo
VIS
2008
IEEE
192views Visualization» more  VIS 2008»
14 years 9 months ago
Smooth Surface Extraction from Unstructured Point-based Volume Data Using PDEs
Abstract--Smooth surface extraction using partial differential equations (PDEs) is a well-known and widely used technique for visualizing volume data. Existing approaches operate o...
Paul Rosenthal, Lars Linsen
MVA
2007
101views Computer Vision» more  MVA 2007»
13 years 7 months ago
A Novel Approach to Eigenpalm Features Using Feature-Partitioning Framework
Eigenpalms, a well-known approach, extracts features from palmprint images using conventional PCA technique. However eigenpalms does not exploit neighbourhood (local) information ...
Kadappagari Vijaya Kumar, Atul Negi
BMCBI
2007
115views more  BMCBI 2007»
13 years 7 months ago
A novel, fast, HMM-with-Duration implementation - for application with a new, pattern recognition informed, nanopore detector
Background: Hidden Markov Models (HMMs) provide an excellent means for structure identification and feature extraction on stochastic sequential data. An HMM-with-Duration (HMMwD) ...
Stephen Winters-Hilt, Carl Baribault