845 search results - page 46 / 169 » Complexity Dimensions and Learnability |
133
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APVIS
2010
14 years 7 months ago
2010
In this paper, we present a novel three-stage process to visualize the structure of point clouds in arbitrary dimensions. To get insight into the structure and complexity of a dat...
128
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PR
2008
15 years 19 days ago
2008
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...
122
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CVPR
2012
IEEE
13 years 3 months ago
2012
IEEE
In this paper, we propose a general framework for approximating differential operator directly on point clouds and use it for geometric understanding on them. The discrete approxi...
93
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PODS
2000
ACM
15 years 4 months ago
2000
ACM
In this paper, we propose a new tunable index scheme, called iMinMax , that maps points in high dimensional spaces to single dimension values determined by their maximum or minimu...
140
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IPCV
2008
15 years 2 months ago
2008
Linear Discriminant Analysis(LDA) is well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional data,...