Large data analysis of different sensory modalities

Ming-Kai Hsu; Harold Szu

doi:10.1117/12.2054581

24 June 2014 Large data analysis of different sensory modalities

Ming-Kai Hsu, Harold Szu

Proceedings Volume 9118, Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering XII; 911803 (2014) https://doi.org/10.1117/12.2054581
Event: SPIE Sensing Technology + Applications, 2014, Baltimore, MD, United States

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.

Citation Download Citation

Ming-Kai Hsu and Harold Szu "Large data analysis of different sensory modalities", Proc. SPIE 9118, Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering XII, 911803 (24 June 2014); https://doi.org/10.1117/12.2054581

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