منابع مشابه
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Predictable Feature Analysis (PFA) [Richthofer and Wiskott, 2015] is an algorithm that performs dimensionality reduction on high dimensional input signal. It extracts those subsignals that are most predictable according to a certain prediction model. We refer to these extracted signals as predictable features. In this work we extend the notion of PFA to take supplementary information into accou...
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ژورنال
عنوان ژورنال: Frontiers in Computational Neuroscience
سال: 2012
ISSN: 1662-5188
DOI: 10.3389/conf.fncom.2012.55.00120