1088 search results - page 64 / 218 » Robust Principal Component Analysis for Computer Vision |
69
Voted
ICPR
2002
IEEE
15 years 11 months ago
2002
IEEE
We used a data analysis approach for selecting colour components for skin detection. The criterion for this selection was to achieve a reasonable degree of generalisation and reco...
105
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ICNS
2007
IEEE
15 years 4 months ago
2007
IEEE
In this paper, the problem of discovering anomalies in a large-scale network based on the data fusion of heterogeneous monitors is considered. We present a classification of anoma...
ICPR
2004
IEEE
15 years 11 months ago
2004
IEEE
Statistical methods, such as independent component analysis, have been successful in learning local low-level features from natural image data. Here we extend these methods for le...
CIKM
2010
Springer
14 years 8 months ago
2010
Springer
This paper presents a novel approach for the visualization and clustering of crowd video contents by using multilinear principal component analysis (MPCA). In contrast to feature-...
101
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PR
2006
14 years 10 months ago
2006
In the past few years, some nonlinear dimensionality reduction (NLDR) or nonlinear manifold learning methods have aroused a great deal of interest in the machine learning communit...