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...
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...
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, ...
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...