110 search results - page 4 / 22 » Neural Meshes: Statistical Learning Based on Normals |
EDUTAINMENT
2008
Springer
13 years 7 months ago
2008
Springer
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...
ARTMED
2002
13 years 5 months ago
2002
An artificial neural network ensemble is a learning paradigm where several artificial neural networks are jointly used to solve a problem. In this paper, an automatic pathological...
CORR
2011
Springer
13 years 24 days ago
2011
Springer
Different features have different relevance to a particular learning problem. Some features are less relevant; while some very important. Instead of selecting the most relevant fe...
EAAI
2006
13 years 5 months ago
2006
This contribution describes a neural network that self-organizes to recover the underlying original sources from typical sensor signals. No particular information is required abou...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
We propose a direct reconstruction algorithm for Computed Tomography, based on a local fusion of a few preliminary image estimates by means of a non-linear fusion rule. One such ru...