Proceedings of the AAAI Conference on Artificial Intelligence· 2020
Tensor-SVD Based Graph Learning for Multi-View Subspace Clustering
- 212citations
- 2020year
Short summary
A novel weighted tensor-nuclear norm minimization (WTNNM) method based on tensor-Singular Value Decomposition (t-SVD) significantly improves multi-view subspace clustering by addressing noise and illumination variations.
AI-generated from the title and abstract; the full text is not read.
TakeawaysIn the app
Key pointsIn the app
Ask the paperIn the app
The rest is in the Pofolia app
Takeaways, key points and questions to the paper; new summaries every day for your field. Free.
Sign in on the web to openField: Computational Mathematics
Computational MathematicsMathematics