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» Effective Change Detection Using Sampling
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BMCBI
2008
102views more  BMCBI 2008»
13 years 9 months ago
Fast splice site detection using information content and feature reduction
Background: Accurate identification of splice sites in DNA sequences plays a key role in the prediction of gene structure in eukaryotes. Already many computational methods have be...
A. K. M. A. Baten, Saman K. Halgamuge, Bill C. H. ...
ESERNET
2003
Springer
14 years 2 months ago
Functional Testing, Structural Testing, and Code Reading: What Fault Type Do They Each Detect?
The origin of the study described here is the experiment performed by Basili and Selby, further replicated by Kamsties and Lott, and once again by Wood et al. These experiments inv...
Natalia Juristo Juzgado, Sira Vegas
ECCV
2000
Springer
14 years 11 months ago
Non-parametric Model for Background Subtraction
Abstract. Background subtraction is a method typically used to segment moving regions in image sequences taken from a static camera by comparing each new frame to a model of the sc...
Ahmed M. Elgammal, David Harwood, Larry S. Davis
KBSE
2006
IEEE
14 years 3 months ago
Sieve: A Tool for Automatically Detecting Variations Across Program Versions
Software systems often undergo many revisions during their lifetime as new features are added, bugs repaired, abstractions simplified and refactored, and performance improved. Wh...
Murali Krishna Ramanathan, Ananth Grama, Suresh Ja...
AMCS
2008
146views Mathematics» more  AMCS 2008»
13 years 9 months ago
Fault Detection and Isolation with Robust Principal Component Analysis
Principal component analysis (PCA) is a powerful fault detection and isolation method. However, the classical PCA which is based on the estimation of the sample mean and covariance...
Yvon Tharrault, Gilles Mourot, José Ragot, ...