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Manifold integration

Manifold integration is a combined concept of manifold learning and data integration, or an extension of manifold learning for multiple measurements… Expand
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Papers overview

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2018
2018
In this paper, covariance matrices are exploited to encode the deep convolutional neural networks (DCNN) features for facial… Expand
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2017
2017
In Part I of this thesis, we address the problem of manifold learning and clustering by introducing a novel constrained shortest… Expand
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Highly Cited
2016
Highly Cited
2016
Recently, skeleton-based human action recognition has been receiving significant attention from various research communities due… Expand
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2013
2013
  • Sultan of Lucera
  • 2013
  • Corpus ID: 49953681
Emperor Frederick II (1194-1250), who ruled the Holy Roman Empire from 1220 to 1250,1 is one of the central figures of Europe's… Expand
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2010
2010
Manifold learning has been successfully used for finding dominant factors (low-dimensional manifold) in a high-dimensional data… Expand
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2010
2010
In data analysis, data points are usually analyzed based on their relations to other points (e.g., distance or inner product… Expand
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2009
2009
Scholarship in geography has underscored the importance of emotions to our understanding of space and society. However, the… Expand
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2008
2008
Most manifold learning methods consider only one similarity matrix to induce a low-dimensional manifold embedded in data space… Expand
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1993
1993
A multibody model of hands and arms is presented. Representative points of contact are considered as the end-effectors. The… Expand
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