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CW
2005
IEEE
13 years 10 months ago
Using a Floating Origin to Improve Fidelity and Performance of Large, Distributed Virtual Worlds
Large Virtual Worlds (VWs) are increasingly common in the computer graphics areas of simulation, games, geospatial or scientific visualisation. In such VWs, simulated motion of th...
Chris Thorne
ECCV
1994
Springer
14 years 25 days ago
Markov Random Field Models in Computer Vision
A variety of computer vision problems can be optimally posed as Bayesian labeling in which the solution of a problem is dened as the maximum a posteriori (MAP) probability estimate...
Stan Z. Li
ACSAC
2003
IEEE
14 years 2 months ago
Automatic Reassembly of Document Fragments via Context Based Statistical Models
Reassembly of fragmented objects from a collection of randomly mixed fragments is a common problem in classical forensics. In this paper we address the digital forensic equivalent...
Kulesh Shanmugasundaram, Nasir D. Memon
CRV
2005
IEEE
201views Robotics» more  CRV 2005»
14 years 2 months ago
Minimum Bayes Error Features for Visual Recognition by Sequential Feature Selection and Extraction
The extraction of optimal features, in a classification sense, is still quite challenging in the context of large-scale classification problems (such as visual recognition), inv...
Gustavo Carneiro, Nuno Vasconcelos
NIPS
2008
13 years 10 months ago
Optimization on a Budget: A Reinforcement Learning Approach
Many popular optimization algorithms, like the Levenberg-Marquardt algorithm (LMA), use heuristic-based "controllers" that modulate the behavior of the optimizer during ...
Paul Ruvolo, Ian R. Fasel, Javier R. Movellan