454 search results - page 47 / 91 » Principal Component Analysis Based on L1-Norm Maximization |
ICPPW
2002
IEEE
15 years 2 months ago
2002
IEEE
This paper presents a methodology for aiding a scientific programmer to evaluate the performance of parallel programs on advanced architectures. It applies well-defined design o...
103
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IJCV
2000
14 years 9 months ago
2000
Linear parameterized models of optical flow, particularly affine models, have become widespread in image motion analysis. The linear model coefficients are straightforward to estim...
BMCBI
2010
14 years 9 months ago
2010
Background: With the rapid development of new genetic measurement methods, several types of genetic alterations can be quantified in a high-throughput manner. While the initial fo...
83
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ICCV
2007
IEEE
15 years 4 months ago
2007
IEEE
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...
75
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ICPR
2004
IEEE
15 years 10 months ago
2004
IEEE
Authors Address the problem of recognition and retrieval of relatively weak industrial signal such as Partial Discharges (PD) buried in excessive noise. The major bottleneck being...