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» Objective reduction using a feature selection technique
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BMCBI
2011
13 years 21 days ago
Biomarker Discovery and Redundancy Reduction towards Classification using a Multi-factorial MALDI-TOF MS T2DM Mouse Model Datase
Background: Diabetes like many diseases and biological processes is not mono-causal. On the one hand multifactorial studies with complex experimental design are required for its c...
Chris Bauer, Frank Kleinjung, Celia J. Smith, Mark...
SI3D
1997
ACM
14 years 1 months ago
Model Simplification Using Vertex-Clustering
This paper presents a practical technique to automatically compute approximations of polygonal representations of 3D objects. It is based on a previously developed model simplific...
Kok-Lim Low, Tiow Seng Tan
ASPDAC
2007
ACM
116views Hardware» more  ASPDAC 2007»
14 years 1 months ago
Frequency Selective Model Order Reduction via Spectral Zero Projection
As process technology continues to scale into the nanoscale regime, interconnect plays an ever increasing role in determining VLSI system performance. As the complexity of these sy...
Mehboob Alam, Arthur Nieuwoudt, Yehia Massoud
ICPR
2008
IEEE
14 years 10 months ago
A method of feature selection using contribution ratio based on boosting
AdaBoost and support vector machines (SVM) algorithms are commonly used in the field of object recognition. As classifiers, their classification performance is sensitive to affect...
Masamitsu Tsuchiya, Hironobu Fujiyoshi
ENGL
2007
101views more  ENGL 2007»
13 years 9 months ago
Multiresolution Knowledge Mining using Wavelet Transform
— Most research in Knowledge Mining deal with the basic models like clustering, classification, regression, association rule mining and so on. In the process of quest for knowled...
R. Pradeep Kumar, P. Nagabhushan