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» New interval methods for constrained global optimization
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CGF
2000
97views more  CGF 2000»
15 years 3 months ago
Motion Balance Filtering
This paper presents a new technique called motion balance filtering, which corrects an unbalanced motion to a balanced one while preserving the original motion characteristics as ...
Seyoon Tak, Oh-Young Song, Hyeong-Seok Ko
156
Voted
CORR
2012
Springer
230views Education» more  CORR 2012»
13 years 11 months ago
RT-SLAM: A Generic and Real-Time Visual SLAM Implementation
Abstract. This article presents a new open-source C++ implementation to solve the SLAM problem, which is focused on genericity, versatility and high execution speed. It is based on...
Cyril Roussillon, Aurélien Gonzalez, Joan S...
164
Voted
CEC
2011
IEEE
14 years 3 months ago
Cost-benefit analysis of using heuristics in ACGP
—Constrained Genetic Programming (CGP) is a method of searching the Genetic Programming search space non-uniformly, giving preferences to certain subspaces according to some heur...
John W. Aleshunas, Cezary Z. Janikow
313
Voted
PAMI
2010
215views more  PAMI 2010»
15 years 2 months ago
Fusion Moves for Markov Random Field Optimization
—The efficient application of graph cuts to Markov Random Fields (MRFs) with multiple discrete or continuous labels remains an open question. In this paper, we demonstrate one p...
Victor S. Lempitsky, Carsten Rother, Stefan Roth, ...
167
Voted
SIAMIS
2010
141views more  SIAMIS 2010»
14 years 10 months ago
Optimization by Stochastic Continuation
Simulated annealing (SA) and deterministic continuation are well-known generic approaches to global optimization. Deterministic continuation is computationally attractive but produ...
Marc C. Robini, Isabelle E. Magnin