Tucker decomposition

Known as: Tucker, Tucker3 
In mathematics, Tucker decomposition decomposes a tensor into a set of matrices and one small core tensor. It is named after Ledyard R… (More)
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Highly Cited
2017
Highly Cited
2017
Bilinear models provide an appealing framework for mixing and merging information in Visual Question Answering (VQA) tasks. They… (More)
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2014
2014
We propose algorithms for Tucker tensor decomposition, which can avoid computing singular value decomposition or eigenvalue… (More)
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2013
2013
Open Information Extraction (Open IE) has gained increasing research interest in recent years. The first step in Open IE is to… (More)
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2013
2013
Dictionary learning algorithms are typically derived for dealing with one or two dimensional signals using vector-matrix… (More)
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Highly Cited
2012
Highly Cited
2012
Tensor decomposition is a powerful computational tool for multiway data analysis. Many popular tensor decomposition approaches… (More)
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Highly Cited
2012
Highly Cited
2012
The compression of hyperspectral images (HSIs) has recently become a very attractive issue for remote sensing applications… (More)
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2008
2008
Nonnegative tucker decomposition (NTD) is a recent multiway extension of nonnegative matrix factorization (NMF), where nonnega… (More)
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Highly Cited
2008
Highly Cited
2008
Modern applications such as Internet traffic, telecommunication records, and large-scale social networks generate massive amounts… (More)
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Highly Cited
2008
Highly Cited
2008
There is a increasing interest in analysis of large-scale multiway data. The concept of multiway data refers to arrays of data… (More)
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Highly Cited
2007
Highly Cited
2007
Nonnegative tensor factorization (NTF) is a recent multiway (multilinear) extension of nonnegative matrix factorization (NMF… (More)
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