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SCHOLARPEDIA
2008
89views more  SCHOLARPEDIA 2008»
13 years 7 months ago
Support vector clustering
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
Asa Ben-Hur
BMCBI
2010
115views more  BMCBI 2010»
13 years 9 months ago
Multiconstrained gene clustering based on generalized projections
Background: Gene clustering for annotating gene functions is one of the fundamental issues in bioinformatics. The best clustering solution is often regularized by multiple constra...
Jia Zeng, Shanfeng Zhu, Alan Wee-Chung Liew, Hong ...
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
14 years 9 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 ...
CORR
2010
Springer
249views Education» more  CORR 2010»
13 years 9 months ago
Performance Analysis of Spectral Clustering on Compressed, Incomplete and Inaccurate Measurements
Spectral clustering is one of the most widely used techniques for extracting the underlying global structure of a data set. Compressed sensing and matrix completion have emerged a...
Blake Hunter, Thomas Strohmer
ICFHR
2010
193views Biometrics» more  ICFHR 2010»
13 years 4 months ago
A New Method for Handwritten Scene Text Detection in Video
There are many video images where hand written text may appear. Therefore handwritten scene text detection in video is essential and useful for many applications for efficient ind...
Palaiahnakote Shivakumara, Anjan Dutta, Umapada Pa...