49 search results - page 2 / 10 » A Comparative Study of Energy Minimization Methods for Marko... |
ECCV
2008
Springer
14 years 3 months ago
2008
Springer
Monte Carlo methods and their subsequent simulated annealing are able to minimize general energy functions. However, the slow convergence of simulated annealing compared with more ...
ICIP
2007
IEEE
14 years 6 months ago
2007
IEEE
Abstract-- This paper presents an edge-directed image interpolation algorithm. In the proposed algorithm, the edge directions are implicitly estimated with a statistical-based appr...
JMLR
2008
13 years 5 months ago
2008
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
ICCV
2007
IEEE
14 years 7 months ago
2007
IEEE
Markov Random Fields (MRFs) are ubiquitous in lowlevel computer vision. In this paper, we propose a new approach to the optimization of multi-labeled MRFs. Similarly to -expansion...
ICCV
2011
IEEE
12 years 5 months ago
2011
IEEE
We propose a novel way to induce a random field from an energy function on discrete labels. It amounts to locally injecting noise to the energy potentials, followed by finding t...