25 search results - page 4 / 5 » Variational Inference for Grammar Induction with Prior Knowl... |
AADA
2011
12 years 5 months ago
2011
We introduce a variational approach to image segmentation based on sparse coverings of image domains by shape templates. The objective function combines a data term that achieves ...
COLT
1994
Springer
13 years 10 months ago
1994
Springer
Inductive Logic Programming (ILP) involves the construction of first-order definite clause theories from examples and background knowledge. Unlike both traditional Machine Learnin...
ECCV
2010
Springer
13 years 4 months ago
2010
Springer
Compressive sampling (CS) is aimed at acquiring a signal or image from data which is deemed insufficient by Nyquist/Shannon sampling theorem. Its main idea is to recover a signal ...
ECCV
2010
Springer
13 years 10 months ago
2010
Springer
Abstract. In this paper we propose a probabilistic framework that models shape variations and infers dense and detailed 3D shapes from a single silhouette. We model two types of sh...
ICML
2008
IEEE
14 years 6 months ago
2008
IEEE
Stationarity is often an unrealistic prior assumption for Gaussian process regression. One solution is to predefine an explicit nonstationary covariance function, but such covaria...