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» Generic Methods for Optimization-Based Modeling
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ICML
2009
IEEE
14 years 9 months ago
Convex variational Bayesian inference for large scale generalized linear models
We show how variational Bayesian inference can be implemented for very large generalized linear models. Our relaxation is proven to be a convex problem for any log-concave model. ...
Hannes Nickisch, Matthias W. Seeger
ICRA
2010
IEEE
139views Robotics» more  ICRA 2010»
13 years 7 months ago
Dynamic modelling and control of variable stiffness actuators
— After briefly summarizing the mechanical design of the two joint prototypes for the new DLR variable compliance arm, the paper exemplifies the dynamic modelling of one of the...
Alin Albu-Schäffer, Sebastian Wolf, Oliver Ei...
COLING
2010
13 years 3 months ago
EM-based Hybrid Model for Bilingual Terminology Extraction from Comparable Corpora
In this paper, we present an unsupervised hybrid model which combines statistical, lexical, linguistic, contextual, and temporal features in a generic EMbased framework to harvest...
Lianhau Lee, AiTi Aw, Min Zhang, Haizhou Li
CVPR
2005
IEEE
14 years 10 months ago
Modelling Dynamic Scenes by Registering Multi-View Image Sequences
In this paper, we present a new variational method for multi-view stereovision and non-rigid three-dimensional motion estimation from multiple video sequences. Our method minimize...
Jean-Philippe Pons, Renaud Keriven, Olivier D. Fau...
ICPR
2008
IEEE
14 years 3 months ago
Finite element modeling of facial deformation in videos for computing strain pattern
We present a finite element modeling based approach to compute strain patterns caused by facial deformation during expressions in videos. A sparse motion field computed through ...
Vasant Manohar, Matthew Shreve, Dmitry B. Goldgof,...