922 search results - page 30 / 185 » Learning Gaussian Process Models from Uncertain Data |
SSD
2007
Springer
14 years 1 months ago
2007
Springer
In many modern applications such as biometric identification systems, sensor networks, medical imaging, geology, and multimedia databases, the data objects are not described exact...
NIPS
2003
13 years 8 months ago
2003
Density estimation with Gaussian Mixture Models is a popular generative technique used also for clustering. We develop a framework to incorporate side information in the form of e...
HRI
2007
ACM
13 years 11 months ago
2007
ACM
We present an approach to teach incrementally human gestures to a humanoid robot. The learning process consists of first projecting the movement data in a latent space and encodin...
ICIP
2000
IEEE
13 years 11 months ago
2000
IEEE
Point Distribution Models are useful tools for modelling the variability of particular classes of shapes. A common approach is to apply a Principle Component Analysis to the data,...
IQ
2007
13 years 8 months ago
2007
: We introduce an end-to-end framework for data quality that integrates business strategy, data quality models, and supporting investigative and governance processes. We also descr...