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Local tangent space alignment

Known as: LTSA 
Local tangent space alignment (LTSA) is a method for manifold learning, which can efficiently learn a nonlinear embedding into low-dimensional… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2013
Review
2013
Real-world data is often high-dimensionality. Therefore, dimensionality reduction technics are necessary tools to find a… Expand
2012
2012
The local tangent space alignment (LTSA) has demonstrated promising results in finding meaningful low-dimensional structures… Expand
2011
2011
Principal component analysis (PCA) is widely used in recently proposed manifold learning algorithms to provide approximate local… Expand
2010
2010
Anomaly detection in hyperspectral images is investigated using local tangent space alignment (LTSA) for dimensionality reduction… Expand
Highly Cited
2009
Highly Cited
2009
Spectral analysis-based dimensionality reduction algorithms are important and have been popularly applied in data mining and… Expand
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2009
2009
In this paper, a novel linear subspace learning algorithm called orthogonal discriminant linear local tangent space alignment… Expand
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2008
2008
Manifold alignment (Ham et al., 2005) is about mapping several datasets into a global space, and is of great importance in… Expand
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Highly Cited
2007
Highly Cited
2007
In this paper, linear local tangent space alignment (LLTSA), as a novel linear dimensionality reduction algorithm, is proposed… Expand
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2005
2005
A novel supervised learning method is proposed in this paper. It is an extension of local tangent space alignment (LTSA) to… Expand
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Highly Cited
2003
Highly Cited
2003
In this paper we present a new algorithm for manifold learning and nonlinear dimension reduction. Based on a set of unorganized… Expand
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