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» Robust estimation for sparse data
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CEC
2011
IEEE
14 years 1 months ago
Curiosity-driven optimization
— The principle of artificial curiosity directs active exploration towards the most informative or most interesting data. We show its usefulness for global black box optimizatio...
Tom Schaul, Yi Sun, Daan Wierstra, Faustino J. Gom...
IJON
2010
119views more  IJON 2010»
14 years 12 months ago
Hyperparameter learning in probabilistic prototype-based models
We present two approaches to extend Robust Soft Learning Vector Quantization (RSLVQ). This algorithm for nearest prototype classification is derived from an explicit cost functio...
Petra Schneider, Michael Biehl, Barbara Hammer
CVPR
2006
IEEE
16 years 3 months ago
Acceleration Strategies for Gaussian Mean-Shift Image Segmentation
Gaussian mean-shift (GMS) is a clustering algorithm that has been shown to produce good image segmentations (where each pixel is represented as a feature vector with spatial and r...
Miguel Á. Carreira-Perpiñán
CVPR
2012
IEEE
13 years 3 months ago
Discrete-continuous optimization for multi-target tracking
The problem of multi-target tracking is comprised of two distinct, but tightly coupled challenges: (i) the naturally discrete problem of data association, i.e. assigning image obs...
Anton Andriyenko, Konrad Schindler, Stefan Roth
ICIP
2009
IEEE
16 years 2 months ago
Photo-consistent Surface Reconstruction From Noisy Point Clouds
Existing algorithms for surface reconstruction from point sets are defeated by moderate amounts of noise and outliers, which makes them unapplicable to point clouds originating fr...