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IJCV
2011
180views more  IJCV 2011»
13 years 2 months ago
Global Minimization for Continuous Multiphase Partitioning Problems Using a Dual Approach
This paper is devoted to the optimization problem of continuous multipartitioning, or multi-labeling, which is based on a convex relaxation of the continuous Potts model. In contr...
Egil Bae, Jing Yuan, Xue-Cheng Tai
DAGM
2008
Springer
13 years 9 months ago
Approximate Parameter Learning in Conditional Random Fields: An Empirical Investigation
We investigate maximum likelihood parameter learning in Conditional Random Fields (CRF) and present an empirical study of pseudo-likelihood (PL) based approximations of the paramet...
Filip Korc, Wolfgang Förstner
IPMI
2007
Springer
14 years 8 months ago
Active Mean Fields: Solving the Mean Field Approximation in the Level Set Framework
Abstract. We describe a new approach for estimating the posterior probability of tissue labels. Conventional likelihood models are combined with a curve length prior on boundaries,...
Kilian M. Pohl, Ron Kikinis, William M. Wells III
ICML
2009
IEEE
14 years 2 months ago
Split variational inference
We propose a deterministic method to evaluate the integral of a positive function based on soft-binning functions that smoothly cut the integral into smaller integrals that are ea...
Guillaume Bouchard, Onno Zoeter
IROS
2007
IEEE
159views Robotics» more  IROS 2007»
14 years 2 months ago
Approximate covariance estimation in graphical approaches to SLAM
— Smoothing and optimization approaches are an effective means for solving the simultaneous localization and mapping (SLAM) problem. Most of the existing techniques focus mainly ...
Gian Diego Tipaldi, Giorgio Grisetti, Wolfram Burg...