Learning Incoherent Subspaces: Classification via Incoherent Dictionary Learning
نویسندگان
چکیده
منابع مشابه
Learning Incoherent Subspaces: Classification via Incoherent Dictionary Learning
In this article we present the supervised iterative projections and rotations (s-ipr) algorithm, a method for learning discriminative incoherent subspaces from data. We derive s-ipr as a supervised extension of our previously proposed iterative projections and rotations (ipr) algorithm for incoherent dictionary learning, and we employ it to learn incoherent sub-spaces that model signals belongi...
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ژورنال
عنوان ژورنال: Journal of Signal Processing Systems
سال: 2014
ISSN: 1939-8018,1939-8115
DOI: 10.1007/s11265-014-0937-5