Arc diagram

Known as: Linear embedding 
In graph drawing, an arc diagram is a style of graph drawing, in which the vertices of a graph are placed along a line in the Euclidean plane, with… (More)
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Papers overview

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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… (More)
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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… (More)
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Highly Cited
2005
Highly Cited
2005
Most face recognition systems focus on photo-based face recognition. In this paper, we present a face recognition system based on… (More)
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Highly Cited
2004
Highly Cited
2004
In this paper, we propose a novel method for solving single-image super-resolution problems. Given a low-resolution image as… (More)
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Highly Cited
2004
Highly Cited
2004
In this paper we propose a novel method for learning a Mahalan obis distance measure to be used in the KNN classification algorit… (More)
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Highly Cited
2004
Highly Cited
2004
We investigate how to learn a kernel matrix for high dimensional data that lies on or near a low dimensional manifold. Noting… (More)
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Highly Cited
2003
Highly Cited
2003
The problem of dimensionality reduction arises in many fields of information processing, including machine learning, data… (More)
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Highly Cited
2003
Highly Cited
2003
Locally linear embedding (LLE) is a recently proposed method for unsupervised nonlinear dimensionality reduction. It has a number… (More)
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Highly Cited
2003
Highly Cited
2003
We describe a method to recover the underlying parametrization of scattered data (mi) lying on a manifold M embedded in high… (More)
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Highly Cited
2002
Highly Cited
2002
This paper introduces a new visualization method, the arc diagram, which is capable of representing complex patterns of… (More)
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