54 search results - page 11 / 11 » Manifold denoising with Gaussian Process Latent Variable Mod... |
GECCO
2007
Springer
14 years 7 days ago
2007
Springer
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
CVPR
2008
IEEE
14 years 8 months ago
2008
IEEE
Both detection and tracking people are challenging problems, especially in complex real world scenes that commonly involve multiple people, complicated occlusions, and cluttered o...
NIPS
2008
13 years 7 months ago
2008
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
TCAD
2008
13 years 6 months ago
2008
We present an efficient optimization scheme for gate sizing in the presence of process variations. Our method is a worst-case design scheme, but it reduces the pessimism involved i...