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ICASSP
2011
IEEE
7 years 10 months ago
Fast adaptive variational sparse Bayesian learning with automatic relevance determination
In this work a new adaptive fast variational sparse Bayesian learning (V-SBL) algorithm is proposed that is a variational counterpart of the fast marginal likelihood maximization ...
Dmitriy Shutin, Thomas Buchgraber, Sanjeev R. Kulk...
CVPR
2011
IEEE
7 years 10 months ago
Connecting Non-Quadratic Variational Models and MRFs
Spatially-discrete Markov random fields (MRFs) and spatially-continuous variational approaches are ubiquitous in low-level vision, including image restoration, segmentation, opti...
Kevin Schelten, Stefan Roth
SIAMIS
2010
167views more  SIAMIS 2010»
8 years 1 months ago
Global Solutions of Variational Models with Convex Regularization
Abstract. We propose an algorithmic framework for computing global solutions of variational models with convex regularity terms that permit quite arbitrary data terms. While the mi...
Thomas Pock, Daniel Cremers, Horst Bischof, Antoni...
CORR
2011
Springer
188views Education» more  CORR 2011»
8 years 1 months ago
Planar Cycle Covering Graphs
We describe a new variational lower-bound on the minimum energy configuration of a planar binary Markov Random Field (MRF). Our method is based on adding auxiliary nodes to every...
Julian Yarkony, Alexander T. Ihler, Charless C. Fo...
ICPR
2010
IEEE
8 years 4 months ago
Variational Mixture of Experts for Classification with Applications to Landmine Detection
Abstract--In this paper, we (1) provide a complete framework for classification using Variational Mixture of Experts (VME); (2) derive the variational lower bound; and (3) apply th...
Seniha Esen Yuksel, Paul D. Gader
SIAMJO
2010
107views more  SIAMJO 2010»
8 years 4 months ago
Second-Order Analysis of Polyhedral Systems in Finite and Infinite Dimensions with Applications to Robust Stability of Variation
Abstract. This paper concerns second-order analysis for a remarkable class of variational systems in finite-dimensional and infinite-dimensional spaces, which is particularly imp...
René Henrion, Boris S. Mordukhovich, Nguyen...
CG
2005
Springer
8 years 6 months ago
A hierarchical sampling approach for polygonizing variational implicit surfaces
This article discusses an enhanced polygonization algorithm for variational implicit surfaces. The polygonization scheme is a simple hierarchical adaptation of the Marching Cubes ...
Alvaro Cuno, Claudio Esperança, Antonio A. ...
ICPR
2010
IEEE
8 years 6 months ago
An Iterative Method for Superresolution of Optical Flow Derived by Energy Minimisation
Superresolution is a technique to recover a highresolution image from a low resolution image . We develop a variational superresolution method for the subpixel accurate optical ...
Yoshihiko Mochizuki, Yusuke Kameda, Atsushi Imiya,...
ICONIP
2007
8 years 8 months ago
Natural Conjugate Gradient in Variational Inference
Variational methods for approximate inference in machine learning often adapt a parametric probability distribution to optimize a given objective function. This view is especially ...
Antti Honkela, Matti Tornio, Tapani Raiko, Juha Ka...
DAGM
2003
Springer
8 years 11 months ago
Domain Decomposition for Parallel Variational Optical Flow Computation
We present an approach to parallel variational optical flow computation by using an arbitrary partition of the image plane and iteratively solving related local variational proble...
Timo Kohlberger, Christoph Schnörr, Andr&eacu...
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