341 search results - page 17 / 69 » A framework for the analysis of error in global illumination... |
CVPR
2004
IEEE
14 years 10 months ago
2004
IEEE
Abstract-- Efficient detection of globally optimal surfaces representing object boundaries in volumetric datasets is important and remains challenging in many medical image analysi...
ILP
2007
Springer
14 years 2 months ago
2007
Springer
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
CVPR
2010
IEEE
14 years 4 months ago
2010
IEEE
In this paper we introduce a novel Riemannian framework for shape analysis of parameterized surfaces. We derive a distance function between any two surfaces that is invariant to r...
JMLR
2012
11 years 11 months ago
2012
Graph partitioning algorithms play a central role in data analysis and machine learning. Most useful graph partitioning criteria correspond to optimizing a ratio between the cut a...
SIGGRAPH
1997
ACM
14 years 27 days ago
1997
ACM
Our goal is to develop physically based lighting models and perceptually based rendering procedures for computer graphics that will produce synthetic images that are visually and ...