We describe a fast algorithm for kernel discriminant analysis, empirically demonstrating asymptotic speed-up over the previous best approach. We achieve this with a new pattern of...
We present a novel boosting algorithm, called SoftBoost, designed for sets of binary labeled examples that are not necessarily separable by convex combinations of base hypotheses....
Manfred K. Warmuth, Karen A. Glocer, Gunnar Rä...
Consensus clustering has emerged as one of the principal clustering problems in the data mining community. In recent years the theoretical computer science community has generated...
: Technologies of identification by radio frequencies (RFID) experience a fast development and healthcare is predicted to be one of its major growth areas. After briefly introducin...
Modeling complex realistic objects is a difficult and time consuming process. Nevertheless, with improvements in rendering speed and quality, more and more applications require s...