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Review

2019

Review

2019

Tensor completion recovers missing entries of multiway data. Teh missing of entries could often be caused during teh data… Expand

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Highly Cited

2010

Highly Cited

2010

We define the hierarchical singular value decomposition (SVD) for tensors of order $d\geq2$. This hierarchical SVD has properties… Expand

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Highly Cited

2010

Highly Cited

2010

The main objective of developing an image-watermarking technique is to satisfy both imperceptibility and robustness requirements… Expand

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Highly Cited

2007

Highly Cited

2007

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

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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

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Highly Cited

2004

Highly Cited

2004

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

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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

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Highly Cited

2000

Highly Cited

2000

We discuss a multilinear generalization of the singular value decomposition. There is a strong analogy between several properties… Expand

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Highly Cited

1998

Highly Cited

1998

We present and analyze low-rank channel estimators for orthogonal frequency-division multiplexing (OFDM) systems using the… Expand

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Highly Cited

1976

Highly Cited

1976

The numerical techniques of transform image coding are well known in the image bandwidth compression literature. This concise… Expand

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