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Outer product

In linear algebra, an outer product is the tensor product of two vectors, a special case of the Kronecker product of matrices. The outer product of… Expand
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Papers overview

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Highly Cited
2018
Highly Cited
2018
In this work, we contribute a new multi-layer neural network architecture named ONCF to perform collaborative filtering. The idea… Expand
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2018
2018
Sparse matrices are widely used in graph and data analytics, machine learning, engineering and scientific applications. This… Expand
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Highly Cited
2016
Highly Cited
2016
Modeling textual or visual information with vector representations trained from large language or visual datasets has been… Expand
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Highly Cited
2015
Highly Cited
2015
We propose bilinear models, a recognition architecture that consists of two feature extractors whose outputs are multiplied using… Expand
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Highly Cited
2013
Highly Cited
2013
Discriminative latent-variable models are typically learned using EM or gradient-based optimization, which suffer from local… Expand
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Highly Cited
2011
Highly Cited
2011
We present a new family of subgradient methods that dynamically incorporate knowledge of the geometry of the data observed in… Expand
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Highly Cited
2009
Highly Cited
2009
Careful reassessment of new and pre-existing data shows that recorded scatter in the hot-wire-measured near-wall peak in viscous… Expand
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Highly Cited
2002
Highly Cited
2002
Summary. Searching for an effective dimension reduction space is an important problem in regression, especially for high… Expand
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Highly Cited
1997
Highly Cited
1997
  • Zhi Ding
  • IEEE Trans. Signal Process.
  • 1997
  • Corpus ID: 17885365
Blind channel identification and equalization have attracted a great deal of attention due to their potential application in… Expand
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Highly Cited
1983
Highly Cited
1983
We approximate a digital image as a sum of outer products dxyTwhere d is a real number but the vectors x and y have elements +1… Expand
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