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» Discrete optimization in computer vision
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CVPR
2007
IEEE
14 years 12 months ago
Learning Gaussian Conditional Random Fields for Low-Level Vision
Markov Random Field (MRF) models are a popular tool for vision and image processing. Gaussian MRF models are particularly convenient to work with because they can be implemented u...
Marshall F. Tappen, Ce Liu, Edward H. Adelson, Wil...
WACV
2008
IEEE
14 years 4 months ago
A Vision-Based System For Automatic Detection and Extraction Of Road Networks
In this paper we present a novel vision-based system for automatic detection and extraction of complex road networks from various sensor resources such as aerial photographs, sate...
Charalambos Poullis, Suya You, Ulrich Neumann
GECCO
2005
Springer
152views Optimization» more  GECCO 2005»
14 years 3 months ago
GAMM: genetic algorithms with meta-models for vision
Recent adaptive image interpretation systems can reach optimal performance for a given domain via machine learning, without human intervention. The policies are learned over an ex...
Greg Lee, Vadim Bulitko
GECCO
2006
Springer
214views Optimization» more  GECCO 2006»
14 years 1 months ago
A new discrete particle swarm algorithm applied to attribute selection in a bioinformatics data set
Many data mining applications involve the task of building a model for predictive classification. The goal of such a model is to classify examples (records or data instances) into...
Elon S. Correa, Alex Alves Freitas, Colin G. Johns...
ACII
2005
Springer
13 years 12 months ago
Simulated Annealing Based Hand Tracking in a Discrete Space
Hand tracking is a challenging problem due to the complexity of searching in a 20+ degrees of freedom (DOF) space for an optimal estimation of hand configuration. This paper repres...
Wei Liang, Yunde Jia, Yang Liu, Cheng Ge