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» Semi-supervised Feature Selection via Spectral Analysis
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BIOINFORMATICS
2006
92views more  BIOINFORMATICS 2006»
13 years 8 months ago
What should be expected from feature selection in small-sample settings
Motivation: High-throughput technologies for rapid measurement of vast numbers of biological variables offer the potential for highly discriminatory diagnosis and prognosis; howev...
Chao Sima, Edward R. Dougherty
JSAC
2008
97views more  JSAC 2008»
13 years 8 months ago
Spectrally-efficient relay selection with limited feedback
This paper addresses the multiplexing loss that occurs in relay networks due to causality of relays and the halfduplex constraint. We devise relay selection methods to recover the ...
Ramy Tannious, Aria Nosratinia
ICIP
2009
IEEE
14 years 9 months ago
A Fractal Dimension Based Optimal Wavelet Packet Analysis Technique For Classification Of Meningioma Brain Tumours
With the heterogeneous nature of tissue texture, using a single resolution approach for optimum classification might not suffice. In contrast, a multiresolution wavelet packet ana...
CSL
2011
Springer
13 years 3 months ago
Applications of graph theory to an English rhyming corpus
How much can we infer about the pronunciation of a language – past or present – by observing which words its speakers rhyme? This paper explores the connection between pronunc...
Morgan Sonderegger
COST
2009
Springer
176views Multimedia» more  COST 2009»
14 years 1 months ago
Pathological Voice Analysis and Classification Based on Empirical Mode Decomposition
Empirical mode decomposition (EMD) is an algorithm for signal analysis recently introduced by Huang. It is a completely datadriven non-linear method for the decomposition of a sign...
Gastón Schlotthauer, María Eugenia T...