Outputs (12)

A multi-layer `gas of circles' Markov random field model for the extraction of overlapping near-circular objects (2011)
Conference Proceeding
Nemeth, J., Kato, Z., & Jermyn, I. (2011). A multi-layer `gas of circles' Markov random field model for the extraction of overlapping near-circular objects. In J. Blanc-Talon, R. Kleihorst, W. Philips, D. Popescu, & P. Scheunders (Eds.), Advanced Concepts for Intelligent Vision Systems: 13th International Conference, ACIVS 2011, Ghent, Belgium, August 22-25, 2011, proceedings (171-182). https://doi.org/10.1007/978-3-642-23687-7_16

We propose a multi-layer binary Markov random field (MRF) model that assigns high probability to object configurations in the image domain consisting of an unknown number of possibly touching or overlapping near-circular objects of approximately a gi... Read More about A multi-layer `gas of circles' Markov random field model for the extraction of overlapping near-circular objects.

Multivariate regression smoothing through the 'fallling net' (2011)
Conference Proceeding
Taylor, J., & Einbeck, J. (2011). Multivariate regression smoothing through the 'fallling net'. In D. Conesa, A. Forte, A. Lopez-Quilez, & F. Munoz (Eds.), 26th International Workshop on Statistical Modelling, 5-11 July 2011, Valencia, Spain ; proceedings (597-602)

We consider multivariate regression smoothing through a conditional mean shift procedure. By computing local conditional means iteratively over a set or grid of target points, at each iteration a `net' is formed which gently drifts towards the data c... Read More about Multivariate regression smoothing through the 'fallling net'.