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TCSV
2008
195views more  TCSV 2008»
13 years 11 months ago
Locality Versus Globality: Query-Driven Localized Linear Models for Facial Image Computing
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
Yun Fu, Zhu Li, Junsong Yuan, Ying Wu, Thomas S. H...
CJ
2008
82views more  CJ 2008»
13 years 11 months ago
An Overview of Techniques for Designing Parameterized Algorithms
A survey of the most important and general techniques in parameterized algorithm design is given. Each technique is explained with a meta-algorithm, its use is illustrated by exam...
Christian Sloper, Jan Arne Telle
LOPSTR
1997
Springer
14 years 3 months ago
A Multi-level Approach to Program Synthesis
Abstract. We present an approach to a coherent program synthesis system which integrates a variety of interactively controlled and automated techniques from theorem proving and alg...
Wolfgang Bibel, Daniel S. Korn, Christoph Kreitz, ...
SLSFS
2005
Springer
14 years 5 months ago
Random Projection, Margins, Kernels, and Feature-Selection
Random projection is a simple technique that has had a number of applications in algorithm design. In the context of machine learning, it can provide insight into questions such as...
Avrim Blum