A Comparison of PCA, KPCA and LDA for Feature Extraction to Recognize Affect in Gait Patterns

Benutzer: Gast

Titel:: A Comparison of PCA, KPCA and LDA for Feature Extraction to Recognize Affect in Gait Patterns
Dokumenttyp:: Konferenzbeitrag
Autor(en):: Karg, Michelle; Jenke, Robert; Seiberl, Wolfgang; Kühnlenz, Kolja; Buss, Martin
Kongress- / Buchtitel:: Proceedings of the 3rd International Conference on Affective Computing and Intelligent Interaction
Jahr:: 2009
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