Turbo-SMT: Parallel coupled sparse matrix-Tensor factorizations and applications.

Evangelos E. Papalexakis,Tom M. Mitchell,Nicholas D. Sidiropoulos,Christos Faloutsos,Partha Pratim Talukdar,Brian Murphy

Statistical Analysis and Data Mining（2016）

引用 9|浏览55

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摘要

How can we correlate the neural activity in the human brain as it responds to typed words, with properties of these terms like 'edible', 'fits in hand'? In short, we want to find latent variables, that jointly explain both the brain activity, as well as the behavioral responses. This is one of many settings of the Coupled Matrix-Tensor Factorization CMTF problem.

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关键词

algorithm,coupled matrix-tensor factorization,fMRI data,neurosemantics,parallel,sparse,speedup,tensor

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