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ICML
2005
IEEE
14 years 8 months ago
Dirichlet enhanced relational learning
We apply nonparametric hierarchical Bayesian modelling to relational learning. In a hierarchical Bayesian approach, model parameters can be "personalized", i.e., owned b...
Zhao Xu, Volker Tresp, Kai Yu, Shipeng Yu, Hans-Pe...
ISBI
2011
IEEE
12 years 11 months ago
Self-assessing image-based respiratory motion compensation for fluoroscopic coronary roadmapping
We present a self-assessing image-based motion compensation method for coronary roadmapping in fluoroscopic images. Extending our previous work on respiratory motion compensation...
Michael Manhart, Ying Zhu, Dime Vitanovski
SCALESPACE
2007
Springer
14 years 1 months ago
A Variational Approach for Multi-valued Velocity Field Estimation in Transparent Sequences
Abstract. We propose a variational approach for multi-valued velocity field estimation in transparent sequences. Starting from existing local motion estimators, we show a variatio...
Alonso Ramirez-Manzanares, Mariano Rivera, Pierre ...
ECCV
2002
Springer
14 years 9 months ago
Probabalistic Models and Informative Subspaces for Audiovisual Correspondence
Abstract. We propose a probabalistic model of single source multimodal generation and show how algorithms for maximizing mutual information can find the correspondences between com...
John W. Fisher III, Trevor Darrell
CVPR
2008
IEEE
14 years 9 months ago
Minimal solutions for generic imaging models
A generic imaging model refers to a non-parametric camera model where every camera is treated as a set of unconstrained projection rays. Calibration would simply be a method to ma...
Srikumar Ramalingam, Peter F. Sturm