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» Experiments on Graph Clustering Algorithms
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SMI
2010
IEEE
188views Image Analysis» more  SMI 2010»
13 years 7 months ago
Sharp Feature Detection in Point Clouds
—This paper presents a new technique for detecting sharp features on point-sampled geometry. Sharp features of different nature and possessing angles varying from obtuse to acute...
Christopher Weber, Stefanie Hahmann, Hans Hagen
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 ...
BMCBI
2010
125views more  BMCBI 2010»
13 years 9 months ago
NeatMap - non-clustering heat map alternatives in R
Background: The clustered heat map is the most popular means of visualizing genomic data. It compactly displays a large amount of data in an intuitive format that facilitates the ...
Satwik Rajaram, Yoshi Oono
ICSE
2007
IEEE-ACM
14 years 9 months ago
DECKARD: Scalable and Accurate Tree-Based Detection of Code Clones
Detecting code clones has many software engineering applications. Existing approaches either do not scale to large code bases or are not robust against minor code modifications. I...
Ghassan Misherghi, Lingxiao Jiang, Stéphane...
ICDAR
2009
IEEE
13 years 6 months ago
Document Content Extraction Using Automatically Discovered Features
We report an automatic feature discovery method that achieves results comparable to a manually chosen, larger feature set on a document image content extraction problem: the locat...
Sui-Yu Wang, Henry S. Baird, Chang An