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Experiments in Bayesian and neural pattern recognition with applications to textured-image classification

机译：贝叶斯和神经模式识别的实验及其在纹理图像分类中的应用

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Abstract: paper, two approaches to pattern recognitionare applied to textured image classification. The firstapproach is statistical, based on the Bayesiandescription, and the second approach is neural. !9

机译：摘要：本文将两种模式识别方法应用于纹理图像分类。第一种方法是基于贝叶斯描述的统计方法，第二种方法是神经方法。！9

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《Model-Based Vision》|1992年|p.88-96|共9页
会议地点 Boston MA(US)
作者
Author(s): Danny Rose Univ. of Louisville Louisville KY USA; Aly A. Farag Univ. of Louisville Louisville KY USA.;
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正文语种 eng
中图分类自动化技术、计算机技术;
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4. Experiments in Bayesian and neural pattern recognition with applicationsto textured-image classification, [C] . Danny Rose, Univ. of Louisville, Louisville, Model-Based Vision . 1992

机译：贝叶斯和神经模式识别的实验及其在纹理图像分类中的应用，
5. Gene expression temporal patterns classification with hierarchical Bayesian neural networks and time lagged recurrent neural networks. [D] . Liang, Yulan. 2003

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Experiments in Bayesian and neural pattern recognition with applications to textured-image classification

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