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» Objective reduction using a feature selection technique
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PAA
2006
14 years 10 months ago
Efficient median based clustering and classification techniques for protein sequences
Abstract In this paper, an efficient K-medians clustering (unsupervised) algorithm for prototype selection and Supervised K-medians (SKM) classification technique for protein seque...
P. A. Vijaya, M. Narasimha Murty, D. K. Subramania...
KDD
2004
ACM
164views Data Mining» more  KDD 2004»
15 years 10 months ago
Cluster-based concept invention for statistical relational learning
We use clustering to derive new relations which augment database schema used in automatic generation of predictive features in statistical relational learning. Clustering improves...
Alexandrin Popescul, Lyle H. Ungar
ICDE
2012
IEEE
246views Database» more  ICDE 2012»
13 years 12 days 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...
VIS
2008
IEEE
120views Visualization» more  VIS 2008»
15 years 11 months ago
Size-based Transfer Functions: A New Volume Exploration Technique
The visualization of complex 3D images remains a challenge, a fact that is magnified by the difficulty to classify or segment volume data. In this paper, we introduce size-based tr...
Carlos D. Correa, Kwan-Liu Ma
ICPR
2006
IEEE
15 years 11 months ago
Line-Based Affine Invariant Object Location Using Transformation Space Decomposition
This paper presents a novel line-based affine invariant object location methodology. Our algorithm employs a new line-based transformation space decomposition technique to exploit...
Richard Yang, Yongsheng Gao