186 search results - page 17 / 38 » Separable PCA for image classification |
129
Voted
ICPR
2010
IEEE
15 years 9 months ago
2010
IEEE
Face recognition (FR) is an active yet challenging topic in computer vision applications. As a powerful tool to represent high dimensional data, recently sparse representation bas...
157
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ICPR
2006
IEEE
15 years 10 months ago
2006
IEEE
This paper develops an unsupervised discriminant projection (UDP) technique for feature extraction. UDP takes the local and non-local information into account, seeking to find a p...
172
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IMAGING
2003
15 years 5 months ago
2003
Many image formation processes are complex interactions of several sub-processes and the analysis of the resulting images requires often to separate the influence of these sub-pr...
127
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AUSAI
2005
Springer
15 years 10 months ago
2005
Springer
All the traditional PCA-based and LDA-based methods are based on the analysis of vectors. So, it is difficult to evaluate the covariance matrices in such a high-dimensional vector ...
123
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ICIP
2007
IEEE
15 years 10 months ago
2007
IEEE
This paper develops a classification algorithm in the framework of spectral graph theory where the underlying manifold of a high dimensional data set is described by a graph. The...