Elastic map

Known as: Elastic net 
Elastic maps provide a tool for nonlinear dimensionality reduction. By their construction, they are a system of elastic springs embedded in the… (More)
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Topic mentions per year

Topic mentions per year

1988-2017
020406019882017

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
Estimating the number of people present in an image has many practical applications including visual surveillance and public… (More)
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2015
2015
In many classification problems such as electroencephalogram (EEG) classification and image classification, the input features… (More)
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2014
2014
A novel homogeneity-based method for music structure analysis is proposed. The heart of the method is a similarity measure… (More)
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2014
2014
Dictionary learning plays a key role in image representation for classification. A multi-modal dictionary is usually learned from… (More)
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2013
2013
Previous work on dialogue act classification have primarily focused on dense generative and discriminative models. However, since… (More)
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Highly Cited
2012
Highly Cited
2012
Characterizing interactions between multiple brain regions is important for understanding brain function. Functional connectivity… (More)
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2011
2011
The support vector machine (SVM) is a widely used tool for classification. Although commonly understood as a method of finding… (More)
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2011
2011
MOTIVATION Penalized regression methods have been adopted widely for high-dimensional feature selection and prediction in many… (More)
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Highly Cited
2010
Highly Cited
2010
It is difficult to find the optimal sparse solution of a manifold learning based dimensionality reduction algorithm. The lasso or… (More)
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Highly Cited
2004
Highly Cited
2004
Principal component analysis (PCA) is widely used in data processing and dimensionality reduction. However, PCA suffers from the… (More)
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