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… (More)
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Papers overview

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2011
2011
  • Junbin Gao
  • International Conference on Digital Image…
  • 2011
Image matting refers to the problem of accurately extracting foreground objects in images and video. The most recent work by… (More)
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2011
2011
Recently manifold learning has attracted extensive interest in machine learning and related communities. This paper investigates… (More)
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2011
2011
A novel algorithm called orthogonal discriminant local tangent space alignment (O-DLTSA) is proposed for supervised feature… (More)
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2010
2010
Anomaly detection in hyperspectral images is investigated using local tangent space alignment (LTSA) for dimensionality reduction… (More)
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2009
2009
In this paper, a novel linear subspace learning algorithm called orthogonal discriminant linear local tangent space alignment… (More)
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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… (More)
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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… (More)
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2005
2005
Supervised local tangent space alignment (SLTSA) is an extension of local tangent space alignment (LTSA) to supervised feature… (More)
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2005
2005
We propose a nonlinear dimensionality reduction algorithm called partitional local tangent space alignment (PLTSA), which is… (More)
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Highly Cited
2002
Highly Cited
2002
Nonlinear manifold learning from unorganized data points is a very challenging unsupervised learning and data visualization… (More)
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