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CSDA
2007
134views more  CSDA 2007»
9 years 1 months ago
Variational approximations in Bayesian model selection for finite mixture distributions
Variational methods for model comparison have become popular in the neural computing/machine learning literature. In this paper we explore their application to the Bayesian analys...
Clare A. McGrory, D. M. Titterington
IJCV
2006
227views more  IJCV 2006»
9 years 1 months ago
A Multigrid Platform for Real-Time Motion Computation with Discontinuity-Preserving Variational Methods
Variational methods are among the most accurate techniques for estimating the optic flow. They yield dense flow fields and can be designed such that they preserve discontinuities, ...
Andrés Bruhn, Joachim Weickert, Timo Kohlbe...
DAGM
2005
Springer
9 years 6 months ago
Optic Flow Goes Stereo: A Variational Method for Estimating Discontinuity-Preserving Dense Disparity Maps
We present a novel variational method for estimating dense disparity maps from stereo images. It integrates the epipolar constraint into the currently most accurate optic flow met...
Natalia Slesareva, Andrés Bruhn, Joachim We...
ICASSP
2009
IEEE
9 years 8 months ago
Structured variational methods for distributed inference in wireless ad hoc and sensor networks
Abstract –In this paper, a variational message passing framework is proposed for Markov random fields, which is computationally more efficient and admits wider applicability comp...
Yanbing Zhang, Huaiyu Dai
CVPR
2010
IEEE
9 years 9 months ago
Curious Snakes: a minimum-latency solution to the cluttered background problem in active contours
We present a region-based active contour detection algorithm for objects that exhibit relatively homogeneous photometric characteristics (e.g. smooth color or gray levels), embe...
Ganesh Sundaramoorthi, Stefano Soatto, Anthony Yez...
ECCV
2000
Springer
10 years 3 months ago
Diffeomorphic Matching Problems in One Dimension: Designing and Minimizing Matching Functionals
This paper focuses on matching 1D structures by variational methods. We provide rigorous rules for the construction of the cost function, on the basis of an analysis of properties ...
Alain Trouvé, Laurent Younes

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johnwinnResearch Scientist, PhD
Microsoft Research Cambridge
johnwinn

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11 years 20 days ago
Variational Methods on the GPU (Optical Flow Segmentation etc.)
This page contains several methods using variational methods on the GPU.
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