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» Perceptual Learning and Abstraction in Machine Learning
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155
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EDUTAINMENT
2008
Springer
15 years 7 months ago
Efficient Method for Point-Based Rendering on GPUs
Abstract. We describe methods for high-performance and high-quality rendering of point models, including advanced shading, anti-aliasing, and transparency. we keep the rendering qu...
La-mei Yan, You-wei Yuan
ESANN
2008
15 years 7 months ago
Interpretable ensembles of local models for safety-related applications
Abstract. This paper discusses a machine learning approach for binary classification problems which satisfies the specific requirements of safety-related applications. The approach...
Sebastian Nusser, Clemens Otte, Werner Hauptmann
IPMI
2007
Springer
16 years 6 months ago
Shape Regression Machine
Abstract. We present a machine learning approach called shape regression machine (SRM) to segmenting in real time an anatomic structure that manifests a deformable shape in a medic...
Shaohua Kevin Zhou, Dorin Comaniciu
MLDM
2005
Springer
15 years 11 months ago
Unsupervised Learning of Visual Feature Hierarchies
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
Fabien Scalzo, Justus H. Piater
145
Voted
DSMML
2004
Springer
15 years 11 months ago
SVM Based Learning System for Information Extraction
Abstract. We present an SVM-based learning algorithm for information extraction, including experiments on the influence of different algorithm settings. Our approach needs fewer ...
Yaoyong Li, Kalina Bontcheva, Hamish Cunningham