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ICA
2012
Springer
13 years 5 months ago
Distributional Convergence of Subspace Estimates in FastICA: A Bootstrap Study
Independent component analysis (ICA) is possibly the most widespread approach to solve the blind source separation (BSS) problem. Many different algorithms have been proposed, tog...
Jarkko Ylipaavalniemi, Nima Reyhani, Ricardo Vig&a...
IWPC
2009
IEEE
15 years 4 months ago
Vector space analysis of software clones
In this paper, we introduce a technique for applying Independent Component Analysis to vector space representations of software code fragments such as methods or blocks. The dista...
Scott Grant, James R. Cordy
EDOC
2003
IEEE
15 years 3 months ago
Model Driven Security: Unification of Authorization Models for Fine-Grain Access Control
The research vision of the Unified Component Meta Model Framework (UniFrame) is to develop an infrastructure for components that enables a plug and play component environment wher...
Carol C. Burt, Barrett R. Bryant, Rajeev R. Raje, ...
IJCNN
2007
IEEE
15 years 4 months ago
FEBAM: A Feature-Extracting Bidirectional Associative Memory
—In this paper, a new model that can ultimately create its own set of perceptual features is proposed. Using a bidirectional associative memory (BAM)-inspired architecture, the r...
Sylvain Chartier, Gyslain Giguère, Patrice ...
ICMCS
2005
IEEE
138views Multimedia» more  ICMCS 2005»
15 years 3 months ago
Overcomplete ICA-based Manmade Scene Classification
Principal Component Analysis (PCA) has been widely used to extract features for pattern recognition problems such as object recognition. Oliva and Torralba used “spatial envelop...
Matthew Boutell, Jiebo Luo