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» Local decomposition for rare class analysis
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KDD
2007
ACM
159views Data Mining» more  KDD 2007»
14 years 5 months ago
Local decomposition for rare class analysis
Given its importance, the problem of predicting rare classes in large-scale multi-labeled data sets has attracted great attentions in the literature. However, the rare-class probl...
Junjie Wu, Hui Xiong, Peng Wu, Jian Chen
ICPP
2006
IEEE
13 years 11 months ago
A Formal Analysis of Space Filling Curves for Parallel Domain Decomposition
Space filling curves (SFCs) are widely used for parallel domain decomposition in scientific computing applications. The proximity preserving properties of SFCs are expected to k...
Srikanta Tirthapura, Sudip Seal, Srinivas Aluru
ICPR
2008
IEEE
13 years 11 months ago
Semi-supervised marginal discriminant analysis based on QR decomposition
In this paper, a novel subspace learning method, semi-supervised marginal discriminant analysis (SMDA), is proposed for classification. SMDA aims at maintaining the intrinsic neig...
Rui Xiao, Pengfei Shi
TIP
1998
135views more  TIP 1998»
13 years 4 months ago
Adaptive weighted highpass filters using multiscale analysis
In this paper, we propose a general framework for studying a class of weighted highpass filters. Our framework, based on a multiscale signal decomposition, allows us to study a w...
Robert D. Nowak, Richard G. Baraniuk
BIOCOMP
2008
13 years 6 months ago
Analysis of Protein-Ligand Interactions Using Localized Stereochemical Features
Computational analyses of protein structure-function relationships have traditionally been based on sequence homology, fold family analysis and 3D motifs/templates. Previous struct...
Reetal Pai, James C. Sacchettini, Thomas R. Ioerge...