Results 281 to 290 of about 227,412 (325)
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Genetic algorithm for CNN template learning
IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, 1993A learning algorithm for space invariant cellular neural networks (CNNs) is described. Learning is formulated as an optimization problem. Exploration of any specified domain of stable CNNs is possible by the current approach. Templates are derived using a genetic optimization algorithm.
Tamás Roska, T. Kozek, Leon O. Chua
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Genetic recombination of nucleosomal templates is mediated by transcription
Molecular and General Genetics MGG, 1994An in vitro system has been developed to examine the influence of transcription on genetic rearrangement. Using a homologous pairing assay, the transfer of one strand of a nucleosomal template onto a recipient DNA molecule was monitored as a function of RNA polymerase activity.
JoAnn Sekiguchi +3 more
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EasyGenetic: A Template Metaprogramming Framework for Genetic Master-Slave Algorithms [PDF]
, 2009 We present EasyGenetic , a genetic solver based on template metaprogramming , that enables the user to configure the solver by instantiating template parameters. The framework allows to combine flexibility with efficiency. The framework is mainly designed to be applied to problems for which a master-slave solution strategy can be defined.
BENEDETTINI, STEFANO +2 more
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Morphology Genetic Materials Templated from Natural Species
Advanced Materials, 2014The structural characteristics of natural species have been optimized by natural selection for millions of years. They offer specific functions much more effectively than artificial approaches. Morphology genetic materials utilize morphologies gleaned from natural selection into their hierarchical structures. The combination of natural morphologies and
Wang Zhang +6 more
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A Template Matching Method Based on Genetic Algorithm Optimization
Applied Mechanics and Materials, 2012This paper presents a method of using Genetic Algorithm (GA) to optimize template and image searching process, using template matching to recognize target. An initial matching template is set manually according to 2D shape and the optimizing template is obtained by GA optimizing to meet the requirement of real-time and effective performance.
Xiao Hui Zhang, Qing Liu, Mu Li
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Chromatin as a eukaryotic template of genetic information
Current Opinion in Cell Biology, 2002In eukaryotes, chromatin is essential for heredity. Chromatin architecture is sometimes "epistatic" over the DNA and imparts a different heritable state to the same DNA sequence or the same functional state to unrelated DNA sequences. This has been documented recently in a wide variety of studies focused on regulation of the yeast mating type, the ...
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Object Identification Based on Deformable Templates and Genetic Algorithms
2009 International Conference on Business Intelligence and Financial Engineering, 2009In this paper, an algorithm is described which detects and localizes shapes in grayscale images. Deformable templates are often employed to model the geometry of the object to be found in an image. There are several methods to find the optimal placement and deformation of the template onto the image.
A. B. M. Shawkat Ali, M. A. Moni
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The template principle: Paradigm of modern genetics
Russian Journal of Genetics, 2013The idea of continuity in living systems, which was initially developed in mid-19th century, reached its peak in 1928 thanks to N.K. Koltsov, who proposed the template principle in chromosome reproduction. The determination of genetic functions of nucleic acids and the advent of molecular genetics led to F.
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A Template Based Continuous Genetic Algorithm for Image Reconstruction
2007 IEEE International Multitopic Conference, 2007A template-based continuous genetic algorithm (CGA) image reconstruction methodology is proposed for tomographic image reconstruction. For the head and the lung phantoms, the proposed methodology has been found to yield higher image-quality in comparison with the conventional techniques including back-projection, filtered-back-projection, and simulated
Muhammad Arif +2 more
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3D shape reconstruction of template models using genetic algorithms
Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., 2004We present in this communication a method, which enables to fit a 3D object defined by a functional representation (FRep) to a dataset of 3D points on its surface. A parametric FRep model sketching the point-set is fitted to the point-set. The best fitted parameters of the model are obtained by using a genetic algorithm, well known for its interesting ...
Fayolle, Pierre-Alain +2 more
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