Flow visualization has been a very attractive component of scientific visualization research for a long time. Usually very large multivariate datasets require processing. These da...
Robert S. Laramee, Helwig Hauser, Helmut Doleisch,...
A new class of image information-restoration algorithms virtually different from traditional techniques are proposed. In comparison with other approaches, our methods not only use ...
This paper presents an empirical study in an industrial context on the production of software using a framework. Frameworks are semicomplete applications, usually implemented as a ...
Maurizio Morisio, Daniele Romano, Ioannis Stamelos
This article proposes a flexible and distributed stochastic automaton-based network partitioning algorithm that is capable of finding the optimal k-way partition with respect to a...
Yan Wan, Sandip Roy, Ali Saberi, Bernard C. Lesieu...
We investigate incremental word learning with few training examples in a Hidden Markov Model (HMM) framework suitable for an interactive learning scenario with little prior knowle...