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» Detecting Inconsistencies in Distributed Data
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CVPR
2012
IEEE
11 years 11 months ago
Multi view registration for novelty/background separation
We propose a system for the automatic segmentation of novelties from the background in scenarios where multiple images of the same environment are available e.g. obtained by weara...
Omid Aghazadeh, Josephine Sullivan, Stefan Carlsso...
ISBI
2009
IEEE
14 years 3 months ago
Detecting Maximal Directional Changes in Spatial fMRI Response Using Canonical Correlation Analysis
Traditional fMRI analysis has focused on modeling temporal changes in BOLD signals on a voxel-by-voxel basis to infer brain activation. To incorporate spatial information, we have...
Bernard Ng, Rafeef Abugharbieh, Martin McKeown
BMCBI
2010
125views more  BMCBI 2010»
13 years 9 months ago
Haplotype allelic classes for detecting ongoing positive selection
Background: Natural selection eliminates detrimental and favors advantageous phenotypes. This process leaves characteristic signatures in underlying genomic segments that can be r...
Julie Hussin, Philippe Nadeau, Jean-Françoi...
ICDM
2010
IEEE
168views Data Mining» more  ICDM 2010»
13 years 7 months ago
Anomaly Detection Using an Ensemble of Feature Models
We present a new approach to semi-supervised anomaly detection. Given a set of training examples believed to come from the same distribution or class, the task is to learn a model ...
Keith Noto, Carla E. Brodley, Donna K. Slonim
ICSE
2004
IEEE-ACM
14 years 9 months ago
An Empirical Study of Software Reuse vs. Defect-Density and Stability
The paper describes results of an empirical study, where some hypotheses about the impact of reuse on defect-density and stability, and about the impact of component size on defec...
Parastoo Mohagheghi, Reidar Conradi, Ole M. Killi,...