1187 search results - page 126 / 238 » The Generalized Dimensionality Reduction Problem |
ICMLA
2007
14 years 11 months ago
2007
Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...
TOG
2002
14 years 9 months ago
2002
Shadow maps are probably the most widely used means for the generation of shadows, despite their well known aliasing problems. In this paper we introduce perspective shadow maps, ...
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CORR
2010
Springer
14 years 8 months ago
2010
Springer
Singular Value Decomposition (and Principal Component Analysis) is one of the most widely used techniques for dimensionality reduction: successful and efficiently computable, it ...
IDA
2010
Springer
14 years 8 months ago
2010
Springer
The accuracy of methods for the assessment of mammographic risk analysis is heavily related to breast tissue characteristics. Previous work has demonstrated considerable success i...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Sparsity in the eigenspace of signal covariance matrices is exploited in this paper for compression and denoising. Dimensionality reduction (DR) and quantization modules present i...