85 search results - page 11 / 17 » 3D Data Segmentation Using a Non-Parametric Density Estimati... |
AIIA
2003
Springer
13 years 11 months ago
2003
Springer
A novel, two stage, neural architecture for the segmentation of range data and their modeling with undeformed superquadrics is presented. The system is composed by two distinct neu...
ICANN
2009
Springer
14 years 11 days ago
2009
Springer
Kernel density estimation (KDE) has been used in many computational intelligence and computer vision applications. In this paper we propose a Bayesian estimation method for findin...
Presentation
In this paper, we present an automatic statistical approach for extracting 3D blood vessels from time-of-flight (TOF) magnetic resonance angiography (MRA) data. The voxels of the d...
KDD
2004
ACM
14 years 8 months ago
2004
ACM
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
VIS
2008
IEEE
14 years 9 months ago
2008
IEEE
Data sets resulting from physical simulations typically contain a multitude of physical variables. It is, therefore, desirable that visualization methods take into account the enti...