847 search results - page 28 / 170 » HITS is Principal Components Analysis |
128
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CORR
2010
Springer
15 years 16 days ago
2010
Springer
In this paper, we study the problem of recovering a low-rank matrix (the principal components) from a highdimensional data matrix despite both small entry-wise noise and gross spar...
109
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ADBIS
2003
Springer
15 years 5 months ago
2003
Springer
Recent research has shown the integration of multiple classifiers to be one of the most important directions in machine learning and data mining. It was shown that, for an ensemble...
161
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PAMI
2012
13 years 2 months ago
2012
— Over the last century, Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Lap...
PAKDD
2005
ACM
15 years 6 months ago
2005
ACM
Covariances from categorical variables are defined using a regular simplex expression for categories. The method follows the variance definition by Gini, and it gives the covaria...
98
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ICCV
1999
IEEE
15 years 4 months ago
1999
IEEE
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Three techniques: Principal Component Analy...