The deconvolution of blurred and noisy satellite images is an ill-posed inverse problem, which can be regularized within a Bayesian context by using an a priori model of the recon...
This paper presents a novel non-local iterative backprojection (NLIBP) algorithm for image enlargement. The iterative back-projection (IBP) technique iteratively reconstructs a hi...
Heuristic measures for estimating the quality of attributes mostly assume the independence of attributes so in domains with strong dependencies between attributes their performanc...
The increasing complexity of configurable software systems creates a need for more intelligent sampling mechanisms to detect and locate failure-inducing dependencies between confi...
Adam A. Porter, Myra B. Cohen, Sandro Fouché...
In this paper, we present a novel method to adapt the temporal radio maps for indoor location determination by offsetting the variational environmental factors using data mining t...