“Low-rank + dual” model based dimensionality reduction
نویسندگان
چکیده
منابع مشابه
Dimensionality Reduction Based on Low Rank Representation
Dimensionality Reduction is a common way to solve the problem of ‘curse of dimensions’, especially for image processing. Among all these methods, the linear methods are believed to have better performance in actual databases. This paper proposes a novel unsupervised linear dimensionality reduction method that based on low rank representation which aims at finding the subspace structure of the o...
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ژورنال
عنوان ژورنال: Neurocomputing
سال: 2016
ISSN: 0925-2312
DOI: 10.1016/j.neucom.2015.07.117