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» Calibrating Random Forests
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CVPR
2010
IEEE
14 years 5 months ago
Segmentation of Building Facades Using Procedural Shape Priors
In this paper we propose a novel approach to the perceptual interpretation of building facades that combines shape grammars, supervised classification and random walks. Procedural...
Olivier Teboul, Loic Simon, Panagiotis Koutsouraki...
DAGM
2011
Springer
12 years 8 months ago
Real Time Head Pose Estimation from Consumer Depth Cameras
We present a system for estimating location and orientation of a person’s head, from depth data acquired by a low quality device. Our approach is based on discriminative random r...
Gabriele Fanelli, Thibaut Weise, Juergen Gall, Luc...
ESA
1998
Springer
154views Algorithms» more  ESA 1998»
14 years 28 days ago
A Functional Approach to External Graph Algorithms
We present a new approach for designing external graph algorithms and use it to design simple, deterministic and randomized external algorithms for computing connected components, ...
James Abello, Adam L. Buchsbaum, Jeffery Westbrook
MICCAI
2010
Springer
13 years 7 months ago
Agreement-Based Semi-supervised Learning for Skull Stripping
Abstract. Learning-based approaches have become increasingly practical in medical imaging. For a supervised learning strategy, the quality of the trained algorithm (usually a class...
Juan Eugenio Iglesias, Cheng-Yi Liu, Paul M. Thomp...
BMCBI
2010
121views more  BMCBI 2010»
13 years 3 months ago
G-stack modulated probe intensities on expression arrays - sequence corrections and signal calibration
Background: The brightness of the probe spots on expression microarrays intends to measure the abundance of specific mRNA targets. Probes with runs of at least three guanines (G) ...
Mario Fasold, Peter F. Stadler, Hans Binder