Dynamic trees for sensor fusion

Authors:
Kittipat Kampa;K. Clint Slatton;J. Tory Cobb
Affiliations:
Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL;Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL;Naval Surface Warfare Center, Panama City, FL
Venue:
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Year:
2009

Citing 5
Cited 0

Probabilistic reasoning in intelligent systems: networks of plausible inference

Probabilistic reasoning in intelligent systems: networks of plausible inference
Image Modeling with Position-Encoding Dynamic Trees

IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Classification (2nd Edition)

Pattern Classification (2nd Edition)
Dynamic Trees for Unsupervised Segmentation and Matching of Image Regions

IEEE Transactions on Pattern Analysis and Machine Intelligence
Bayesian Networks and Decision Graphs

Bayesian Networks and Decision Graphs

Quantified Score

Hi-index	0.00

Visualization

Abstract

Evolutionary multiobjective optimization (EMO) is an active research area in the field of evolutionary computation. EMO algorithms are designed to find a non-dominated solution set that approximates the entire Pareto front of a multiobjective optimization ...