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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
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Papers overview

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Highly Cited
2015
Highly Cited
2015
Abstract In order to improve the accuracy of fault diagnosis, this article proposes a multi-fault diagnosis method for rotating… Expand
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2012
2012
The local tangent space alignment (LTSA) has demonstrated promising results in finding meaningful low-dimensional structures… Expand
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2011
2011
Principal component analysis (PCA) is widely used in recently proposed manifold learning algorithms to provide approximate local… Expand
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2010
2010
Anomaly detection in hyperspectral images is investigated using local tangent space alignment (LTSA) for dimensionality reduction… Expand
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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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