Unsupervised learning methods often involve summarizing the data using a small number of parameters. In certain domains, only a small subset of the available data is relevant for ...
Abstract Minimizing the energy consumption of target tracking using a mobile sensor network is proved to be NPcomplete. Based on proximity graph, an approximately optimal solution ...
Abstract— A partial feedback control scheme with a probabilistic fuzzy estimator (PFE) is presented for the robust control of quantum systems. In this scheme, a probabilistic fuz...
Chunlin Chen, Gerasimos G. Rigatos, Daoyi Dong, J....
Principal ComponentAnalysis (PCA) has been successfully applied to construct linear models of shape, graylevel, and motion. In particular, PCA has been widely used to model the var...
We propose a time-scale decomposition approach to measurement-based admission control (MBAC). We identify a critical time scale such that: 1) aggregate traffic fluctuation slower t...