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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… 
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Papers overview

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Review
2013
Review
2013
Real-world data is often high-dimensionality. Therefore, dimensionality reduction technics are necessary tools to find a… 
2013
2013
As one of the classical manifold learning algorithms,LTSA algorithm can yield low-dimensional embedding coordinates from high… 
2010
2010
Anomaly detection in hyperspectral images is investigated using local tangent space alignment (LTSA) for dimensionality reduction… 
Highly Cited
2009
Highly Cited
2009
Spectral analysis-based dimensionality reduction algorithms are important and have been popularly applied in data mining and… 
2008
2008
Manifold alignment (Ham et al., 2005) is about mapping several datasets into a global space, and is of great importance in… 
2005
2005
A novel supervised learning method is proposed in this paper. It is an extension of local tangent space alignment (LTSA) to… 
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… 
Highly Cited
2000
Highly Cited
2000
Arcsecond-resolution X-ray imaging of the nucleus of the nearby starburst galaxy NGC 253 with Chandra reveals a well-collimated… 
Highly Cited
1999
Highly Cited
1999
Concurrency provides a thoroughly updatedapproach to the basic concepts and techniques behind concurrent programming. Concurrent…