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Sparse matrix

Known as: Dense matrix, Sparse vector, Sparsity 
In numerical analysis, a sparse matrix is a matrix in which most of the elements are zero. By contrast, if most of the elements are nonzero, then the… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
Nowadays, a large amount of information has to be transmitted or processed. This implies high-power processing, large memory… Expand
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Review
2019
Review
2019
Recently, multi-view representation learning has become a rapidly growing direction in machine learning and data mining areas… Expand
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Review
2019
Review
2019
Abstract Internet of Things (IoT) aims to create a world that enables the interconnection and integration of things in physical… Expand
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Review
2019
Review
2019
Globally, the recommendation services have become important due to the fact that they support e-commerce applications and… Expand
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Review
2019
Review
2019
Abstract. The Mediterranean region and the Levant have returned some of the clearest evidence of a climatically dry period… Expand
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Review
2018
Review
2018
Open-access global Digital Elevation Models (DEM) have been crucial in enabling flood studies in data-sparse areas. Poor… Expand
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Review
2018
Review
2018
Canonical correlation analysis is a family of multivariate statistical methods for the analysis of paired sets of variables… Expand
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Review
2018
Review
2018
Meeting global demand of safe and healthy food for the ever-increasing population now and into the future is currently a crucial… Expand
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Review
2018
Review
2018
Satellite time series with high spatial resolution is critical for monitoring land surface dynamics in heterogeneous landscapes… Expand
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Review
2017
Review
2017
Compared to the traditional orthogonal multiple access (MA), non-orthogonal multiple access (NOMA) technology can achieve higher… Expand
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