In this paper, we study Markov Random Fields as spatial smoothing priors in fMRI detection. Relatively high noise in fMRI images presents a serious challenge for the detection algo...
In this paper, a new segmentation technique for multivalued images is elaborated. The technique makes use of the first fundamental form to access edge information of a multivalued...
We propose a new family of algorithms for denoising data assumed to lie on a low-dimensional manifold. The algorithms are based on the blurring mean-shift update, which moves each...
Despite their effectiveness for robust speech processing, missing data techniques are vulnerable to errors in the classification of the input speech signal’s time-frequency poi...
— This paper builds on previous work on optimal methodologies for the design of numerical subsystems for non-linear, uncertain hardware-in-the-loop (HWIL) simulators. Firstly, th...
Monte Stuart MacDiarmid, Marko Bacic, Ronald Danie...