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» Local Variation as a Statistical Hypothesis Test
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SDM
2009
SIAM
123views Data Mining» more  SDM 2009»
15 years 6 months ago
Randomization Techniques for Graphs.
Mining graph data is an active research area. Several data mining methods and algorithms have been proposed to identify structures from graphs; still, the evaluation of those resu...
Gemma C. Garriga, Kai Puolamäki, Sami Hanhij&...
TSP
2010
14 years 4 months ago
Optimal linear fusion for distributed detection via semidefinite programming
Consider the problem of signal detection via multiple distributed noisy sensors. We propose a linear decision fusion rule to combine the local statistics from individual sensors i...
Zhi Quan, Wing-Kin Ma, Shuguang Cui, Ali H. Sayed
MA
2010
Springer
135views Communications» more  MA 2010»
14 years 8 months ago
Nonparametric comparison of regression functions
In this work we provide a new methodology for comparing regression functions m1 and m2 from two samples. Since apart from smoothness no other (parametric) assumptions are required...
Ramidha Srihera, Winfried Stute
BMCBI
2010
125views more  BMCBI 2010»
14 years 9 months ago
Haplotype allelic classes for detecting ongoing positive selection
Background: Natural selection eliminates detrimental and favors advantageous phenotypes. This process leaves characteristic signatures in underlying genomic segments that can be r...
Julie Hussin, Philippe Nadeau, Jean-Françoi...
ISBI
2006
IEEE
15 years 10 months ago
Group mean differences of voxel and surface objects via nonlinear averaging
Building of atlases representing average and variability of a population of images or of segmented objects is a key topic in application areas like brain mapping, deformable objec...
Shun Xu, Martin Andreas Styner, Brad Davis, Sarang...