A game-theoretic approach for learning optimal parameter values for probabilistic rough set regions is presented. The parameters can be used to define approximation regions in a p...
—This paper studies the design and analysis of optimal training-based beamforming in uncorrelated multipleinput multiple-output (MIMO) channels with known Gaussian statistics. Fi...
Francisco Rubio, Dongning Guo, Michael L. Honig, X...
In this paper, a Bayesian LBP operator is proposed. This operator is formulated in a novel Filtering, Labeling and Statistic (FLS) framework for texture descriptors. In the framew...
— We propose a hybrid media access technique for cluster-based vehicular networks. This technique integrates the centralization approach of cluster management and the universal w...
We study the problem of finding frequent itemsets in a continuous stream of transactions. The current frequency of an itemset in a stream is defined as its maximal frequency ove...