129 search results - page 12 / 26 » Margin Maximizing Discriminant Analysis |
CVPR
2010
IEEE
15 years 2 months ago
2010
IEEE
Kernel methods provide an efficient mechanism to derive nonlinear algorithms. In classification problems as well as in feature extraction, kernel-based approaches map the original...
INFOCOM
2010
IEEE
14 years 8 months ago
2010
IEEE
Abstract—This paper investigates pricing of Internet connectivity services in the context of a monopoly ISP selling broadband access to consumers. We first study the optimal com...
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AMC
2011
14 years 1 months ago
2011
：In this paper, a novel supervised dimensionality reduction method is developed based on both the correlation analysis and the idea of large margin learning. The method aims to m...
GECCO
2007
Springer
15 years 1 months ago
2007
Springer
Studying metabolic fluxes is a crucial aspect of understanding biological phenotypes. However, it is often not possible to measure these fluxes directly. As an alternative, fluxom...
ICPR
2006
IEEE
15 years 3 months ago
2006
IEEE
Linear Discriminant Analysis (LDA) is a widely used technique for pattern classification. It seeks the linear projection of the data to a low dimensional subspace where the data ...