: The topic of this paper is a novel Bayesian continuous-basis field representation and inference framework. Within this paper several problems are solved: The maximally informativ...
Software composition is critical for building large-scale applications. In this paper, we consider the composition of components that are methods offered by heterogeneous, autonomo...
We present a new variational level-set-based segmentation
formulation that uses both shape and intensity prior information
learned from a training set. By applying Bayes’
rule...
In this paper, generalized granulometric size distributions and size histograms (a.k.a `pattern spectra') are developed using generalized multiscale lattice operators of the ...
Anastasios D. Doulamis, Nikolaos D. Doulamis, Petr...
Distributed work teams are increasingly being implemented to enhance organizational flexibility and competitiveness in today's complex and rapidly changing work environment. ...