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» Independent component analysis: algorithms and applications
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PRL
2006
225views more  PRL 2006»
14 years 9 months ago
A straight line detection using principal component analysis
A straight line detection algorithm is presented. The algorithm separates row and column edges from edge image using their primitive shapes. The edges are labeled, and the princip...
Yun-Seok Lee, Han-Suh Koo, Chang-Sung Jeong
MIDDLEWARE
2004
Springer
15 years 2 months ago
Interoperability Among Independently Evolving Web Services
The increasing popularity of XML Web services motivates us to examine if it is feasible to substitute one vendor service for another when using a Web-based application, assuming th...
Shankar Ponnekanti, Armando Fox
86
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IJCNN
2007
IEEE
15 years 3 months ago
Multi-Stage Optimal Component Analysis
— Optimal component analysis (OCA) uses a stochastic gradient optimization process to find optimal representations for general criteria and shows good performance in object reco...
Yiming Wu, Xiuwen Liu, Washington Mio
ICML
2009
IEEE
15 years 4 months ago
Grammatical inference as a principal component analysis problem
One of the main problems in probabilistic grammatical inference consists in inferring a stochastic language, i.e. a probability distribution, in some class of probabilistic models...
Raphaël Bailly, François Denis, Liva R...
NIPS
2003
14 years 11 months ago
Sparse Representation and Its Applications in Blind Source Separation
In this paper, sparse representation (factorization) of a data matrix is first discussed. An overcomplete basis matrix is estimated by using the K−means method. We have proved ...
Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari, Se...