Multi-objective optimization for parameter selection and characterization of optical flow methods

Proceedings of the 9th International Conference on Computer Vision Theory and Applications ◽

Multi-objective Optimization for Characterization of Optical Flow Methods

10.5220/0004736305660573 ◽

2014 ◽

Keyword(s):

Optical Flow ◽

Methods in Molecular Biology - Computational Methods for Estimating the Kinetic Parameters of Biological Systems ◽

Multi-Objective Optimization Tuning Framework for Kinetic Parameter Selection and Estimation

10.1007/978-1-0716-1767-0_4 ◽

2021 ◽

pp. 65-89

Author(s):

Yadira Boada ◽

Jesús Picó ◽

Alejandro Vignoni

Keyword(s):

Kinetic Parameter ◽

Parameter Selection ◽

Parameter selection for particle swarm optimization based on Stochastic multi-objective optimization

2015 Chinese Automation Congress (CAC) ◽

10.1109/cac.2015.7382846 ◽

2015 ◽

Cited By ~ 3

Author(s):

Ming Xu ◽

JiangPing Gu

Keyword(s):

Particle Swarm Optimization ◽

Particle Swarm ◽

Parameter Selection ◽

Swarm Optimization ◽

Multi Objective ◽

Selection For

Multi-Objective Optimization for Asynchronous Positioning Systems Based on a Complete Characterization of Ranging Errors in 3D Complex Environments

IEEE Access ◽

10.1109/access.2020.2978336 ◽

2020 ◽

Vol 8 ◽

pp. 43046-43056 ◽

Cited By ~ 6

Author(s):

Ruben Alvarez ◽

Javier Diez-Gonzalez ◽

Nicola Strisciuglio ◽

Hilde Perez

Keyword(s):

Complete Characterization ◽

Complex Environments ◽

Positioning Systems ◽

Multi Objective ◽

Ranging Errors

Pareto Optimization of Parameter Selection Speeds Up and Improves Quality of Motion Computation: Applying Evolutionary Multi-objective Optimization to Randomized-Subspace Robust PCA

2018 IEEE International Conference on Data Mining Workshops (ICDMW) ◽

10.1109/icdmw.2018.00134 ◽

2018 ◽

Author(s):

David Grob ◽

Mehmet Vurkac ◽

Agnieszka Miguel ◽

Mirka Mandich ◽

Rana Bayrakcsmith

Keyword(s):

Pareto Optimization ◽

Parameter Selection ◽

Robust Pca ◽

Multi Objective ◽

Motion Computation ◽

Quality Of Motion

Scalarization for characterization of approximate strong/weak/proper efficiency in multi-objective optimization

Optimization ◽

10.1080/02331934.2012.668190 ◽

2013 ◽

Vol 62 (6) ◽

pp. 703-720 ◽

Cited By ~ 11

Author(s):

B.A. Ghaznavi-ghosoni ◽

E. Khorram ◽

M. Soleimani-damaneh

Keyword(s):

Proper Efficiency ◽

Efficient design parameter selection for nonlinear bearings to achieve multi-objective optimization of seismic performance of girder bridges by utilizing the stochastic structural response of equivalent linear systems

Bulletin of Earthquake Engineering ◽

10.1007/s10518-021-01196-9 ◽

2021 ◽

Author(s):

Xinhao He ◽

Akira Igarashi

Keyword(s):

Linear Systems ◽

Seismic Performance ◽

Design Parameter ◽

Structural Response ◽

Parameter Selection ◽

Efficient Design ◽

Multi Objective ◽

Girder Bridges ◽

Selection For

Combining a multi-objective optimization approach with meta-learning for SVM parameter selection

2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC) ◽

10.1109/icsmc.2012.6378235 ◽

2012 ◽

Cited By ~ 3

Author(s):

Pericles B. C. de Miranda ◽

Ricardo B. C. Prudencio ◽

Andre Carlos P. L. F. de Carvalho ◽

Carlos Soares

Keyword(s):

Parameter Selection ◽

Optimization Approach ◽

Multi Objective ◽

Meta Learning

Characterization of Efficient Solutions for Multi-Objective Optimization Problems Involving Semi-Strong and Generalized Semi-Strong E-Convexity

Acta Mathematica Scientia ◽

10.1016/s0252-9602(08)60002-8 ◽

2008 ◽

Vol 28 (1) ◽

pp. 7-16 ◽

Cited By ~ 6

Author(s):

E.A. Youness ◽

Tarek Emam

Keyword(s):

Optimization Problems ◽

Efficient Solutions ◽

Multi-Objective Optimization and Characterization of Pareto Points for Scalable Coding

IEEE Transactions on Circuits and Systems for Video Technology ◽

10.1109/tcsvt.2018.2851999 ◽

2019 ◽

Vol 29 (7) ◽

pp. 2096-2111 ◽

Cited By ~ 1

Author(s):

Wen-Liang Hwang ◽

Chia-Chen Lee ◽

Guan-Ju Peng

Keyword(s):

Scalable Coding ◽

Multi Objective ◽

Pareto Points