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The cross-entropy method and its application to minimize the ripple of magnetic levitation forces of a maglev system
(IOS Press, 2010-01-01)
This paper explores firstly the potential of a new evolutionary method - the Cross-Entropy (CE) method in solving continuous inverse electromagnetic problems. For this purpose, an adaptive updating formula for the smoothing ...
The cross-entropy method and its application to minimize the ripple of magnetic levitation forces of a maglev system
(IOS Press, 2010-01-01)
This paper explores firstly the potential of a new evolutionary method - the Cross-Entropy (CE) method in solving continuous inverse electromagnetic problems. For this purpose, an adaptive updating formula for the smoothing ...
Unsupervised segmentation method for cuboidal cell nuclei in histological prostate images based on minimum cross entropy
(2013-08-12)
This paper presents a novel segmentation method for cuboidal cell nuclei in images of prostate tissue stained with hematoxylin and eosin. The proposed method allows segmenting normal, hyperplastic and cancerous prostate ...
Unsupervised segmentation method for cuboidal cell nuclei in histological prostate images based on minimum cross entropy
(2013-08-12)
This paper presents a novel segmentation method for cuboidal cell nuclei in images of prostate tissue stained with hematoxylin and eosin. The proposed method allows segmenting normal, hyperplastic and cancerous prostate ...
Fully adaptive particle filtering algorithm for damage diagnosis and prognosis
(MDPI, 2018)
A fully adaptive particle filtering algorithm is proposed in this paper which is capable of updating both state process models and measurement models separately and simultaneously. The approach is a significant step toward ...
Multifractalidade e complexidade sobre commodities do agronegócio brasileiroMultifractality and complexity of the Brazilian agribusiness commodities
(Universidade Federal de Lavras, 2016)
Desenvolvimento e avaliação de uma metodologia para geração de agentes genéricos para jogos de tabuleiro
(Universidade Federal de Minas GeraisUFMG, 2017-06-02)
Cross-entropy embedding of high-dimensional data using the neural gas model
(PERGAMON-ELSEVIER SCIENCE LTD, 2005-06)
A cross-entropy approach to mapping high-dimensional data into a low-dimensional space embedding is presented. The method allows to project simultaneously the input data and the codebook vectors, obtained with the Neural ...