Principal component analysis with tensor train subspace
نویسندگان
چکیده
منابع مشابه
Principal Component Analysis with Tensor Train Subspace
Tensor train is a hierarchical tensor network structure that helps alleviate the curse of dimensionality by parameterizing large-scale multidimensional data via a set of network of low-rank tensors. Associated with such a construction is a notion of Tensor Train subspace and in this paper we propose a TTPCA algorithm for estimating this structured subspace from the given data. By maintaining lo...
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ژورنال
عنوان ژورنال: Pattern Recognition Letters
سال: 2019
ISSN: 0167-8655
DOI: 10.1016/j.patrec.2019.02.024