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Independent Component Analysis (ICA) Adopted from: Independent Component Analysis: A Tutorial Aapo Hyv rinen and Erkki Oja Helsinki University of Technology
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c: 1 Component of ICA. d: Average Image. 10/31/09. 5. Why? ... Diff (c, d) 0.25% 10/31/09. 6. Basic Vector(1) Basic Vector is the main directions of the data. ...
How many units of cheese does the U.S. have to give up to acquire a unit of wine without trade? ... more wine can the U.S. acquire from trading vs. not trading? ...
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FastICA Aapo Hyvarinen, Erkki Oja, using the cost function: kurtosis. kurtosis - In probability theory and statistics, kurtosis is a measure of the ' ...
PCA is a data analysis technique to find the subspace of input space that ... We also do not insist on dimensionality reduction, although that is also ...
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Kurtosis for gaussian random variables is 0. Con not a robust measure of ... Instead of kurtosis function, choose a contrast function G that doesn't grow too ...
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Title: Adaptive Linear Predictive Frequency Tracking and CPM Demodulation Author: malay Last modified by: Balu Santhanam Created Date: 10/9/2003 10:45:15 PM
... main idea here is the optimization of a contrast function, such as the kurtosis. ... Consider the optimization of the kurtosis projection of a zero mean whitened ...
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Curse of dimensionality width x height x channels. Noise reduction ... Measuring nongaussianity by Kurtosis. Kurtosis : 4th order cumulant of randomvariable ...