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Books > Computing & IT > Applications of computing > Image processing
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Open Problems in Spectral Dimensionality Reduction (Paperback, 2014 ed.)
Loot Price: R1,716
Discovery Miles 17 160
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Open Problems in Spectral Dimensionality Reduction (Paperback, 2014 ed.)
Series: SpringerBriefs in Computer Science
Expected to ship within 10 - 15 working days
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The last few years have seen a great increase in the amount of data
available to scientists, yet many of the techniques used to analyse
this data cannot cope with such large datasets. Therefore,
strategies need to be employed as a pre-processing step to reduce
the number of objects or measurements whilst retaining important
information. Spectral dimensionality reduction is one such tool for
the data processing pipeline. Numerous algorithms and improvements
have been proposed for the purpose of performing spectral
dimensionality reduction, yet there is still no gold standard
technique. This book provides a survey and reference aimed at
advanced undergraduate and postgraduate students as well as
researchers, scientists, and engineers in a wide range of
disciplines. Dimensionality reduction has proven useful in a wide
range of problem domains and so this book will be applicable to
anyone with a solid grounding in statistics and computer science
seeking to apply spectral dimensionality to their work.
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