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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

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

Review

2009

Review

2009

This survey provides an overview of higher-order tensor decompositions, their applications, and available software. A tensor is a… Expand

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

Highly Cited

2007

Highly Cited

2007

A key part of a recommender system is a collaborative filtering algorithm predicting users’ preferences for items. In this paper… Expand

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

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

Highly Cited

1998

Highly Cited

1998

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

Review

1993

Review

1993

This paper surveys the contributions of five mathematicians—Eugenio Beltrami (1835–1899), Camille Jordan (1838–1921), James… Expand

Review

1980

Review

1980

We provide a tutorial introduction to certain numerical computations both in linear algebra and linear systems in the context of… Expand