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IJON
2007
119views more  IJON 2007»
13 years 5 months ago
Finite sample effects of the fast ICA algorithm
Many algorithms for independent component analysis (ICA) and blind source separation (BSS) can be considered particular instances of a criterion based on the sum of two terms: C(Y...
Sergio Bermejo
ICDAR
2009
IEEE
13 years 3 months ago
Registration and Enhancement of Double-Sided Degraded Manuscripts Acquired in Multispectral Modality
We propose a system to process multispectral scans of double-sided documents. It can co-register any number of recto and verso channel maps, and reduce the bleed-through/show-thro...
Anna Tonazzini, Gianfranco Bianco, Emanuele Salern...
IJCSS
2006
116views more  IJCSS 2006»
13 years 5 months ago
Extracting Motor Unit Firing Information by Independent Component Analysis of Surface Electromyogram: A Preliminary Study Using
Decomposition of electromyogram (EMG) provides a valuable means of obtaining motor unit recruitment and firing rate information. The feasibility of decomposing surface EMG signals...
Ping Zhou, M. M. Lowery, W. Zev Rymer
ICANN
2010
Springer
13 years 5 months ago
Solving Independent Component Analysis Contrast Functions with Particle Swarm Optimization
Independent Component Analysis (ICA) is a statistical computation method that transforms a random vector in another one whose components are independent. Because the marginal distr...
Jorge Igual, Jehad I. Ababneh, Raul Llinares, Juli...
NIPS
1997
13 years 6 months ago
Extended ICA Removes Artifacts from Electroencephalographic Recordings
Severe contamination of electroencephalographic (EEG) activity by eye movements, blinks, muscle, heart and line noise is a serious problem for EEG interpretation and analysis. Rej...
Tzyy-Ping Jung, Colin Humphries, Te-Won Lee, Scott...