On the representation and estimation of spatial uncertainly
International Journal of Robotics Research
Graph Theory, 1736-1936
ASPARAGOS an asynchronous parallel genetic optimization strategy
Proceedings of the third international conference on Genetic algorithms
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Fine-Grained Parallel Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
A Metric for Distributions with Applications to Image Databases
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Face Recognition by Fast Independent Component Analysis and Genetic Algorithm
CIT '04 Proceedings of the The Fourth International Conference on Computer and Information Technology
Advanced models of cellular genetic algorithms evaluated on SAT
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Cellular Automata
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
IEEE Transactions on Pattern Analysis and Machine Intelligence
EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
Two-Dimensional optimal transform for appearance based object recognition
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
Design and characterization of cellular automata based associative memory for pattern recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Distance sets for shape filters and shape recognition
IEEE Transactions on Image Processing
Shape representation and recognition through morphological curvature scale spaces
IEEE Transactions on Image Processing
Adding learning to cellular genetic algorithms for training recurrent neural networks
IEEE Transactions on Neural Networks
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We have studied the use of cellular automata and cellular genetic algorithms for the image classification and ordering problems. The cellular genetic algorithm is a genetic algorithm that has similarities with cellular automata. Image distances are measured as a number of needed cellular GA transforms, when morphing from image to image. Images distances are given to the traveling salesman solver, which orders the images to the shortest route order. The preliminary results seem to support the hypothesis that in principle this kind of image ordering and classification method works. The drawback of the proposed method is a large amount of calculations and the needed when we are testing each image against every other image. Independent component analysis is used in order to construct 3D model of how the tested images are located in space relative to each other.