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» SOM-Based Novelty Detection Using Novel Data
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ICCV
2007
IEEE
14 years 4 months ago
Detecting Cortical Surface Regions in Structural MR Data
We present a novel level-set method for evolving open surfaces embedded in three-dimensional volumes. We adapt the method for statistical detection and segmentation of cytoarchite...
Biswajit Bose, John W. Fisher III, Bruce Fischl, O...
KDD
2005
ACM
205views Data Mining» more  KDD 2005»
14 years 3 months ago
Feature bagging for outlier detection
Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel feature bagging approach for detecting outliers in...
Aleksandar Lazarevic, Vipin Kumar
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
14 years 10 months ago
Detecting outliers using transduction and statistical testing
Outlier detection can uncover malicious behavior in fields like intrusion detection and fraud analysis. Although there has been a significant amount of work in outlier detection, ...
Daniel Barbará, Carlotta Domeniconi, James ...
BMCBI
2008
102views more  BMCBI 2008»
13 years 10 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. ...
MICCAI
2006
Springer
14 years 11 months ago
A Nonparametric Bayesian Approach to Detecting Spatial Activation Patterns in fMRI Data
Traditional techniques for statistical fMRI analysis are often based on thresholding of individual voxel values or averaging voxel values over a region of interest. In this paper w...
Hal S. Stern, Padhraic Smyth, Seyoung Kim