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Maxima and minima

Known as: Maximum, Local minima, Global maximum 
In mathematical analysis, the maxima and minima (the respective plurals of maximum and minimum) of a function, known collectively as extrema (the… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2020
Review
2020
With the widespread use of information technologies, information networks are becoming increasingly popular to capture complex… Expand
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Review
2019
Review
2019
Substantial progress has been made recently on developing provably accurate and efficient algorithms for low-rank matrix… Expand
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Review
2018
Review
2018
In big data fields, with increasing computing capability, artificial neural networks have shown great strength in solving data… Expand
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Review
2018
Review
2018
In this paper, we propose RNN-Capsule, a capsule model based on Recurrent Neural Network (RNN) for sentiment analysis. For a… Expand
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Review
2018
Review
2018
Low-rank modeling plays a pivotal role in signal processing and machine learning, with applications ranging from collaborative… Expand
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Highly Cited
2017
Highly Cited
2017
The stochastic gradient descent (SGD) method and its variants are algorithms of choice for many Deep Learning tasks. These… Expand
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Highly Cited
2009
Highly Cited
2009
  • Karen Otto
  • Nucleic Acids Research
  • 2009
  • Corpus ID: 198768
The attachment of r e p l i c a t i n g DNA to a rap id ly sediment ing nuc lear s t ruc tu r e was inves t iga t ed by d iges t… Expand
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Highly Cited
2005
Highly Cited
2005
This paper considers a natural error correcting problem with real valued input/output. We wish to recover an input vector f/spl… Expand
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Highly Cited
2005
Highly Cited
2005
Suppose we wish to recover a vector x_0 Є R^m (e.g., a digital signal or image) from incomplete and contaminated observations y… Expand
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Highly Cited
2000
Highly Cited
2000
We introduce a new class of problems called network information flow which is inspired by computer network applications. Consider… Expand
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