Spectral clustering is useful for a wide-ranging set of applications in areas such as biological data analysis, image processing and data mining. However, the computational and/or...
Ling Huang, Donghui Yan, Michael I. Jordan, Nina T...
Distributed learning is a problem of fundamental interest in machine learning and cognitive science. In this paper, we present asynchronous distributed learning algorithms for two...
Objectives: To discuss the relationships between ontologies, terminologies and language in the context of Natural Language Processing (NLP) applications in order to show the negat...
Robert H. Baud, Werner Ceusters, Patrick Ruch, Ann...
In this paper, we present the design and the implementation of a novel scheme for the multicast transmission of data over Universal Mobile Telecommunications System (UMTS) network...
Antonios G. Alexiou, Christos Bouras, Andreas Papa...
Optical Burst Switching (OBS) has been proposed as a costeffective paradigm for supporting, with adequate flexibility, the increasingly high transmission capacity required by the ...