Abstract. We propose a novel method for addressing the model selection problem in the context of kernel methods. In contrast to existing methods which rely on hold-out testing or t...
—This paper proposes a model-based text line segmentation algorithm for machine-printed document images. The model is based on geometric configuration which uses the interline sp...
Piecewise constant and piecewise smooth Mumford-Shah (MS) models have been widely studied and used for image segmentation. More complicated than piecewise constant MS, global Gaus...
We generalise the Gaussian process (GP) framework for regression by learning a nonlinear transformation of the GP outputs. This allows for non-Gaussian processes and non-Gaussian ...
Edward Snelson, Carl Edward Rasmussen, Zoubin Ghah...
In this case study, a data-oriented approach is used to visualize a complex digital signal processing pipeline. The pipeline implements a Frequency Modulated (FM) Software-Defined...
Matthew Hall, Alex Betts, Donna Cox, David Pointer...