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Feature Extraction and Pattern Classification Based on Bayesian Decision Boundaries

机译：基于贝叶斯决策边界的特征提取与模式分类

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Lee Luan Ling; Hugo Mauro Cavalcanti;
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年度 2016
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2. Robust building boundary extraction method based on dual-scale feature classification and decision fusion with satellite image [J] . Hao Lechuan, Zhang Ye, Cao Zhimin International journal of remote sensing . 2019,第13a14期

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3. Applying Bayesian Decision Classification to Pi-SAR Polarimetric Data for Detailed Extraction of the Geomorphologic and Structural Features of an Active Volcano [J] . Saepuloh A. Geoscience and Remote Sensing Letters, IEEE . 2012,第4期

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4. Two-pattern classification and feature extraction based on minimum error decision boundary using neural networks [C] . Lee, L.L. . 1994

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5. Pushing the boundaries: Feature extraction from the lung improves pulmonary nodule classification [D] . Dilger, Samantha Kirsten Nowik. 2016

机译：突破界限：从肺部提取特征可改善肺结节分类
6. Development of a literature informed Bayesian machine learning method for feature extraction and classification [O] . Behrouz Madahian, Lih Yuan Deng, Ramin Homayouni 2015

机译：基于文献的贝叶斯机器学习方法用于特征提取和分类的开发
7. Hybrid Model with Super Resolution and Decision Boundary Feature Extraction and Rule based Classification of High Resolution Data [O] . Navjeet Kaur, Simarjeet Kaur 2014

机译：具有超级分辨率的混合模型和决策边界特征提取和基于高分辨率数据的规则分类
8. Feature Extraction and Decision Processes in the Classification of Amplitude Modulated Noise Patterns. [R] . Howard, J. H., Ballas, J. A., Burgy, D. C. 1978

机译：调幅噪声模式分类中的特征提取与决策过程。

Feature Extraction and Pattern Classification Based on Bayesian Decision Boundaries

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