1403 search results - page 139 / 281 » Sampling Techniques for Kernel Methods |
118
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AUSAI
2005
Springer
15 years 8 months ago
2005
Springer
Abstract. Principal Component Analysis (PCA) plus Linear Discriminant Analysis (LDA) (PCA+LDA) and LDA/QR are both two-stage methods that deal with the small sample size (SSS) prob...
184
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BMCBI
2011
14 years 10 months ago
2011
Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...
101
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NIPS
2007
15 years 4 months ago
2007
A wide variety of Dirichlet-multinomial ‘topic’ models have found interesting applications in recent years. While Gibbs sampling remains an important method of inference in su...
132
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ICCV
2001
IEEE
16 years 4 months ago
2001
IEEE
This paper presents a novel landmark-based shape deformation method. This method effectively solves two problems inherent in landmark-based shape deformation: (a) identification o...
126
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SIGGRAPH
1992
ACM
15 years 7 months ago
1992
ACM
We describe a physically-based Monte Carlo technique for approximating bidirectional reflectance distribution functions (BRDFs) for a large class of geometries by directly simulat...