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» Feature Extraction Using ICA
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125
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CBMS
2005
IEEE
15 years 4 months ago
Local Dimensionality Reduction within Natural Clusters for Medical Data Analysis
Inductive learning systems have been successfully applied in a number of medical domains. Nevertheless, the effective use of these systems requires data preprocessing before apply...
Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen
CAD
2008
Springer
15 years 3 months ago
Identification of C1 and C2 discontinuities for surface meshes in CAD
In computer-aided design and meshing, it is often important to identify the discontinuities (singularities) in coarse surface meshes. Due to the potential low resolution and noise...
Xiangmin Jiao, Narasimha R. Bayyana
105
Voted
PR
2007
84views more  PR 2007»
15 years 2 months ago
Attention-based similarity
A similarity measure is described that does not require the prior specification of features or the need for training sets of representative data. Instead large numbers of feature...
Fred Stentiford
ICASSP
2011
IEEE
14 years 6 months ago
Phase-based information for voice pathology detection
In most current approaches of speech processing, information is extracted from the magnitude spectrum. However recent perceptual studies have underlined the importance of the phas...
Thomas Drugman, Thomas Dubuisson, Thierry Dutoit
AAAI
2011
14 years 2 months ago
Tree Sequence Kernel for Natural Language
We propose Tree Sequence Kernel (TSK), which implicitly exhausts the structure features of a sequence of subtrees embedded in the phrasal parse tree. By incorporating the capabili...
Jun Sun, Min Zhang, Chew Lim Tan