Isomap

Isomap is a nonlinear dimensionality reduction method. It is one of several widely used low-dimensional embedding methods. Isomap is used for… (More)
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Topic mentions per year

Topic mentions per year

1997-2018
020406019972018

Papers overview

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2009
2009
This paper studies the problem of determining the sensors’ locations in wireless sensor networks. To alleviate the influence of… (More)
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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… (More)
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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… (More)
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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… (More)
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Highly Cited
2004
Highly Cited
2004
Dimension reduction techniques are widely used for the analysis and visualization of complex sets of data. This paper compares… (More)
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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… (More)
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Highly Cited
2003
Highly Cited
2003
Dimensionality reduction techniques seek to represent a set of images as a set of points in a low dimensional space. Here we… (More)
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Highly Cited
2003
Highly Cited
2003
Recently, the Isomap algorithm has been proposed for learning a nonlinear manifold from a set of unorganized high-dimensional… (More)
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2002
2002
Dimension reduction techniques are widely used for the analysis and visualization of complex sets of data. This paper compares… (More)
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2002
2002
The Isomap method has demonstrated promising results in finding low dimensional manifolds from data points in the high… (More)
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