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ICASSP
2010
IEEE
15 years 2 hour ago
Fast semi-supervised image segmentation by novelty selection
The goal of semi-supervised image segmentation is to obtain the segmentation from a partially labeled image. By utilizing the image manifold structure in labeled and unlabeled pix...
António R. C. Paiva, Tolga Tasdizen
ICRA
2010
IEEE
142views Robotics» more  ICRA 2010»
14 years 10 months ago
Learning and planning high-dimensional physical trajectories via structured Lagrangians
— We consider the problem of finding sufficiently simple models of high-dimensional physical systems that are consistent with observed trajectories, and using these models to s...
Paul Vernaza, Daniel D. Lee, Seung-Joon Yi
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
15 years 6 months ago
ECGA vs. BOA in discovering stock market trading experts
This paper presents two evolutionary algorithms, ECGA and BOA, applied to constructing stock market trading expertise, which is built on the basis of a set of specific trading ru...
Piotr Lipinski
AAAI
2008
15 years 2 months ago
Ensemble Forecasting for Disease Outbreak Detection
We describe a method to improve detection of disease outbreaks in pre-diagnostic time series data. The method uses multiple forecasters and learns the linear combination to minimi...
Thomas H. Lotze, Galit Shmueli
SMA
2010
ACM
204views Solid Modeling» more  SMA 2010»
15 years 5 hour ago
Topologically correct reconstruction of tortuous contour forests
Electrophysiological modeling of dendrites and other neurological processes is generally done in a simplified manner, by treating these structures as a series of cylinders (aka ca...
John Edwards, Chandrajit L. Bajaj