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» Feature Extraction Using ICA
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ICPR
2004
IEEE
14 years 8 months ago
Feature Subset Selection using ICA for Classifying Emphysema in HRCT Images
Feature subset selection, applied as a pre-processing step to machine learning, is valuable in dimensionality reduction, eliminating irrelevant data and improving classifier perfo...
Mithun Nagendra Prasad, Arcot Sowmya, Inge Koch
ISBI
2004
IEEE
14 years 8 months ago
Local Feature Matching Using Entropic Graphs
We present a general framework for image discrimination based on identifying small, localized differences between images. Our novel matching scheme is based on an alternate inform...
Huzefa Neemuchwala, Alfred O. Hero, Paul L. Carson...
IJON
2008
93views more  IJON 2008»
13 years 7 months ago
Morphologically constrained ICA for extracting weak temporally correlated signals
Recently the constrained ICA (cICA) algorithm has been widely applied to many applications. But a crucial problem to the algorithm is how to design a reference signal in advance, ...
Zhi-Lin Zhang
ESANN
2004
13 years 9 months ago
Towards a Local Separation Performances Estimator Using Common ICA Contrast Functions?
Abstract. In most ICA algorithms, the separation performances are estimated through the evaluation of a contrast function , used in the update rule of elements of the unmixing matr...
Frédéric Vrins, Cédric Archam...
IWANN
2005
Springer
14 years 1 months ago
Filtering-Free Blind Separation of Correlated Images
Abstract. When using ICA for image separation, a well-known problem is that most often a large correlation exists between the sources. Because of this dependence, there is no more ...
Frédéric Vrins, John Aldo Lee, Miche...