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GECCO
2008
Springer
184views Optimization» more  GECCO 2008»
13 years 9 months ago
Analysis of mammography reports using maximum variation sampling
A genetic algorithm (GA) was developed to implement a maximum variation sampling technique to derive a subset of data from a large dataset of unstructured mammography reports. It ...
Robert M. Patton, Barbara G. Beckerman, Thomas E. ...
VIIP
2001
13 years 10 months ago
Aligning Large-scale Medical and Biological Data Sets: Exploring a Monkey Brain
This project addresses the issue of developing interactive rendering methods for datasets which cannot be stored on a single hard drive or in main memory anymore. Our dataset is a...
Dmitry Shulga, Joerg Meyer
APIN
2010
108views more  APIN 2010»
13 years 8 months ago
A low variance error boosting algorithm
Abstract. This paper introduces a robust variant of AdaBoost, cwAdaBoost, that uses weight perturbation to reduce variance error, and is particularly effective when dealing with da...
Ching-Wei Wang, Andrew Hunter
ICCV
2007
IEEE
14 years 10 months ago
Out-of-Core Bundle Adjustment for Large-Scale 3D Reconstruction
Large-scale 3D reconstruction has recently received much attention from the computer vision community. Bundle adjustment is a key component of 3D reconstruction problems. However,...
Kai Ni, Drew Steedly, Frank Dellaert
NIPS
2007
13 years 10 months ago
Topmoumoute Online Natural Gradient Algorithm
Guided by the goal of obtaining an optimization algorithm that is both fast and yields good generalization, we study the descent direction maximizing the decrease in generalizatio...
Nicolas Le Roux, Pierre-Antoine Manzagol, Yoshua B...