Kernel Multivariate Analysis Framework for Supervised Subspace Learning: A Tutorial on Linear and Kernel Multivariate Methods

18 Oct 2013Jerónimo Arenas-GarcíaKaare Brandt PetersenGustavo Camps-VallsLars Kai Hansen

Feature extraction and dimensionality reduction are important tasks in many fields of science dealing with signal processing and analysis. The relevance of these techniques is increasing as current sensory devices are developed with ever higher resolution, and problems involving multimodal data sources become more common... (read more)

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