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Isomap

Isomap is a nonlinear dimensionality reduction method. It is one of several widely used low-dimensional embedding methods. Isomap is used for… Expand
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Papers overview

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2018
2018
We explore the discriminative feature extraction problem.A SemiSupervised local multimanifold Isomap by linear embedding is… Expand
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Highly Cited
2008
Highly Cited
2008
The eerie feeling attributed to human-looking robots and animated characters may be a key factor in our perceptual and cognitive… Expand
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Highly Cited
2007
Highly Cited
2007
Isomap is one of widely used low-dimensional embedding methods, where geodesic distances on a weighted graph are incorporated… Expand
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Highly Cited
2005
Highly Cited
2005
Recently there has been a lot of interest in geometrically motivated approaches to data analysis in high dimensional spaces. We… Expand
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Highly Cited
2004
Highly Cited
2004
We present an extension of Isomap nonlinear dimension reduction (Tenenbaum et al., 2000) for data with both spatial and temporal… Expand
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Highly Cited
2003
Highly Cited
2003
Several unsupervised learning algorithms based on an eigendecomposition provide either an embedding or a clustering only for… Expand
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2003
2003
This article addresses 2-dimensional layout of high-dimensional biomedical datasets, which is useful for browsing them… Expand
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Highly Cited
2002
Highly Cited
2002
Topological Stability Tenenbaum et al. (1) presented an algorithm, Isomap, for computing a quasi-isometric, low-dimensional… Expand
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Highly Cited
2002
Highly Cited
2002
Recently proposed algorithms for nonlinear dimensionality reduction fall broadly into two categories which have different… Expand
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Highly Cited
2002
Highly Cited
2002
  • Ming-Hsuan Yang
  • Proceedings. International Conference on Image…
  • 2002
  • Corpus ID: 20949600
The isomap method has demonstrated promising results in finding low dimensional manifolds from samples in high dimensional input… Expand
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