287 search results - page 9 / 58 » Optimal Solutions for Sparse Principal Component Analysis |
CORR
2010
Springer
14 years 9 months ago
2010
Springer
Recently popularized randomized methods for principal component analysis (PCA) efficiently and reliably produce nearly optimal accuracy -- even on parallel processors -- unlike the...
ICASSP
2008
IEEE
15 years 4 months ago
2008
IEEE
The conventional method of generating a basis that is optimally adapted (in MSE) for representation of an ensemble of signals is Principal Component Analysis (PCA). A more ambitio...
109
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ICDM
2006
IEEE
15 years 3 months ago
2006
IEEE
Choosing an appropriate kernel is one of the key problems in kernel-based methods. Most existing kernel selection methods require that the class labels of the training examples ar...
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ISQED
2000
IEEE
15 years 2 months ago
2000
IEEE
A new algorithm to determine the number and value of realistic worst-case models for the performance of module library components is presented in this paper. The proposed algorith...
FPGA
2006
ACM
15 years 1 months ago
2006
ACM
In this paper, we develop an architecture for principal component analysis (PCA) to be used as an outlier detection method for high-speed network intrusion detection systems (NIDS...