The one-class and cost-sensitive support vector machines (SVMs) are state-of-the-art machine learning methods for estimating density level sets and solving weighted classificatio...
Nonnegative matrix factorization (NMF) has been shown to be an efficient clustering tool. However, NMF`s batch nature necessitates recomputation of whole basis set for new samples...
Heterogeneous supercomputers with combined general purpose and accelerated CPUs promise to be the future major architecture due to their wideranging generality and superior perfor...
Peer-to-peer (P2P) systems are slowly moving from application-specific architectures to a generic serviceoriented design framework. The idea is to allow a dynamic collection of P...
This paper investigates the problem of learning the visual semantics of keyword categories for automatic image annotation. Supervised learning algorithms which learn only a single ...