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» A Partial-Repeatability Approach to Data Mining
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164
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ICDE
2012
IEEE
246views Database» more  ICDE 2012»
13 years 6 months ago
HiCS: High Contrast Subspaces for Density-Based Outlier Ranking
—Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods...
Fabian Keller, Emmanuel Müller, Klemens B&oum...
134
Voted
KDD
2001
ACM
145views Data Mining» more  KDD 2001»
16 years 4 months ago
Proximal support vector machine classifiers
Given a dataset, each element of which labeled by one of k labels, we construct by a very fast algorithm, a k-category proximal support vector machine (PSVM) classifier. Proximal s...
Glenn Fung, Olvi L. Mangasarian
WABI
2009
Springer
124views Bioinformatics» more  WABI 2009»
15 years 10 months ago
Mimosa: Mixture Model of Co-expression to Detect Modulators of Regulatory Interaction
Background: Functionally related genes tend to be correlated in their expression patterns across multiple conditions and/or tissue-types. Thus co-expression networks are often use...
Matthew Hansen, Logan Everett, Larry Singh, Sridha...
129
Voted
ICDM
2003
IEEE
95views Data Mining» more  ICDM 2003»
15 years 9 months ago
Evolutionary Gabor Filter Optimization with Application to Vehicle Detection
Abstract—Despite the considerable amount of research work on the application of Gabor filters in pattern classification, their design and selection have been mostly done on a t...
Zehang Sun, George Bebis, Ronald Miller
135
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ICCV
2011
IEEE
14 years 3 months ago
iGroup : Weakly supervised image and video grouping
We present a generic, efficient and iterative algorithm for interactively clustering classes of images and videos. The approach moves away from the use of large hand labelled tra...
Andrew Gilbert, Richard Bowden