Tensor decomposition and applications
Tensor decomposition and applications is a topic indexed in ScholarIQ from OpenAlex.
What is known about Tensor decomposition and applications?
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.
How many works does Tensor decomposition and applications have?
Tensor decomposition and applications has 24,204 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
How many citations does Tensor decomposition and applications have?
Tensor decomposition and applications has 287,740 citations in the OpenAlex counts ScholarIQ stores.
What is the OpenAlex record for Tensor decomposition and applications?
The OpenAlex for Tensor decomposition and applications is on the source record.