922 search results - page 170 / 185 » Learning Gaussian Process Models from Uncertain Data |
KDD
2009
ACM
14 years 2 months ago
2009
ACM
In this paper, we present a technique for visual analysis of documents based on the semantic representation of text in the form of a directed graph, referred to as semantic graph....
ICAI
2008
13 years 8 months ago
2008
coarse procedures or very abstract frames from the point of view of algorithm, because some crucial issues like the representation, evolution, storage, and learning process of conc...
CORR
2006
Springer
13 years 7 months ago
2006
Springer
Fitness functions based on test cases are very common in Genetic Programming (GP). This process can be assimilated to a learning task, with the inference of models from a limited n...
ICCV
2003
IEEE
14 years 9 months ago
2003
IEEE
Many sensing techniques and image processing applications are characterized by noisy, or corrupted, image data. Anisotropic diffusion is a popular, and theoretically well understo...
ISBI
2008
IEEE
14 years 8 months ago
2008
IEEE
We propose a new Bayesian, stochastic tracking algorithm for the segmentation of blood vessels from 3D medical image data. Inspired by the recent developments in particle filterin...