
Proceedings Paper
Large data analysis of different sensory modalitiesFormat | Member Price | Non-Member Price |
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Paper Abstract
We exam the historical remote digital video and in situ analog acoustic data analyses from the modern Large
Data Analysis standpoint. We discussed a potential automation from traditional search engine to modern one.
We exam the mathematic theory to answer where the nonlinear dimensional analysis assume a local flat space
where linear eigenvalue provided the independent components, then the component is extrapolated to original
nonlinear space and assume the local flat reduction remains meaningful at global nonlinear domain.
Paper Details
Date Published: 24 June 2014
PDF: 7 pages
Proc. SPIE 9118, Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering XII, 911803 (24 June 2014); doi: 10.1117/12.2054581
Published in SPIE Proceedings Vol. 9118:
Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering XII
Harold H. Szu; Liyi Dai, Editor(s)
PDF: 7 pages
Proc. SPIE 9118, Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering XII, 911803 (24 June 2014); doi: 10.1117/12.2054581
Show Author Affiliations
Ming-Kai Hsu, The George Washington Univ. (United States)
Harold Szu, The Catholic Univ. of America (United States)
Published in SPIE Proceedings Vol. 9118:
Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering XII
Harold H. Szu; Liyi Dai, Editor(s)
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