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» From Region Inference to von Neumann Machines via Region Rep...
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POPL
1996
ACM
13 years 9 months ago
From Region Inference to von Neumann Machines via Region Representation Inference
Region Inference is a technique for implementing programming languages that are based on typed call-by-value lambda calculus, such as Standard ML. The mathematical runtime model o...
Lars Birkedal, Mads Tofte, Magnus Vejlstrup
ISBI
2011
IEEE
12 years 8 months ago
Sparse Riemannian manifold clustering for HARDI segmentation
We address the problem of segmenting high angular resolution diffusion images of the brain into cerebral regions corresponding to distinct white matter fiber bundles. We cast thi...
Hasan Ertan Çetingül, René Vida...
ESANN
2007
13 years 6 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann