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Sun et al., 2017 - Google Patents

Provable sparse tensor decomposition

Sun et al., 2017

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Document ID
8346320741969044187
Author
Sun W
Lu J
Liu H
Cheng G
Publication year
Publication venue
Journal of the Royal Statistical Society Series B: Statistical Methodology

External Links

Snippet

We propose a novel sparse tensor decomposition method, namely the tensor truncated power method, that incorporates variable selection in the estimation of decomposition components. The sparsity is achieved via an efficient truncation step embedded in the tensor …
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Classifications

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    • G06F17/30598Clustering or classification
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