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

102 citations · 102 across the 1 of their papers we have counts for

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stat.ML2013★ 102 cited

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

Jerónimo Arenas-García, Kaare Brandt Petersen, Gustavo Camps-Valls +1

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 incr…