You are currently offline. Some features of the site may not work correctly.

# Singular value decomposition

Known as: SVD, Singular-value decomposition, SV decomposition
In linear algebra, the singular value decomposition (SVD) is a factorization of a real or complex matrix. It is the generalization of the… Expand
Wikipedia

## Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
• Signal Process.
• 2019
• Corpus ID: 13709506
Tensor completion recovers missing entries of multiway data. Teh missing of entries could often be caused during teh data… Expand
Is this relevant?
Highly Cited
2010
Highly Cited
2010
• L. Grasedyck
• SIAM J. Matrix Anal. Appl.
• 2010
• Corpus ID: 30154794
We define the hierarchical singular value decomposition (SVD) for tensors of order $d\geq2$. This hierarchical SVD has properties… Expand
Is this relevant?
Highly Cited
2010
Highly Cited
2010
• IEEE Transactions on Instrumentation and…
• 2010
• Corpus ID: 41240839
The main objective of developing an image-watermarking technique is to satisfy both imperceptibility and robustness requirements… Expand
Is this relevant?
Highly Cited
2007
Highly Cited
2007
• Milestones in Matrix Computation
• 2007
• Corpus ID: 123532178
Let A be a real m×n matrix with m≧n. It is well known (cf. [4]) that $$A = U\sum {V^T}$$ (1) where {U^T}U = {V^T}V… Expand
Is this relevant?
Highly Cited
2007
Highly Cited
2007
The regularized SVD model has O(NK + MK) parameters (N users, M movies, K features). We propose two models with O(MK) parameters… Expand
Is this relevant?
Highly Cited
2004
Highly Cited
2004
• Machine Learning
• 2004
• Corpus ID: 5892850
We consider the problem of partitioning a set of m points in the n-dimensional Euclidean space into k clusters (usually m and n… Expand
Is this relevant?
Highly Cited
2002
Highly Cited
2002
We introduce an incremental singular value decomposition (SVD) of incomplete data. The SVD is developed as data arrives, and can… Expand
Is this relevant?
Highly Cited
2000
Highly Cited
2000
• SIAM J. Matrix Anal. Appl.
• 2000
• Corpus ID: 14344372
We discuss a multilinear generalization of the singular value decomposition. There is a strong analogy between several properties… Expand
Is this relevant?
Highly Cited
1998
Highly Cited
1998
• IEEE Trans. Commun.
• 1998
• Corpus ID: 1305806
We present and analyze low-rank channel estimators for orthogonal frequency-division multiplexing (OFDM) systems using the… Expand
Is this relevant?
Highly Cited
1976
Highly Cited
1976
• IEEE Trans. Commun.
• 1976
• Corpus ID: 120080872
The numerical techniques of transform image coding are well known in the image bandwidth compression literature. This concise… Expand
Is this relevant?