# Tensor decomposition and applications

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  "id": "T12303",
  "title": "Tensor decomposition and applications",
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  "answer_status": "Directory metadata; local answer requires separate source review",
  "truth_status": "Subject descriptor, not a factual answer or a demonstrated knowledge gap"
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This cluster of papers focuses on the theory and applications of tensor decompositions, particularly in the context of multilinear algebra. It covers various decomposition methods such as Singular Value Decomposition, Parallel Factor Analysis, Canonical Polyadic Decomposition, and Tucker Decomposition, along with their applications in signal processing and machine learning.

Directory metadata is not a factual answer or evidence of a global knowledge gap.

Source: https://openalex.org/T12303

No owner-reviewed local answer yet.