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Erratum to: Recognition of driving postures by combined features and random subspace ensemble of multilayer perceptron classifiers

机译：误解：通过组合特征和多层的Herceptron分类器的组合特征和随机子空间集合来识别驾驶姿势

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C. H. Zhao; B. L. Zhang; X. Z. Zhang; S. Q. Zhao; H. X. Li;
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年度 2012
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1. Erratum to: Recognition of driving postures by combined features and random subspace ensemble of multilayer perceptron classifiers [J] . C. H. Zhao, B. L. Zhang, X. Z. Zhang, Neural Computing and Applications . 2013,第1期

机译：勘误至：通过多层感知器分类器的组合特征和随机子空间集合识别驾驶姿势
2. Recognition of driving postures by combined features and random subspace ensemble of multilayer perceptron classifiers [J] . Chihang H. Zhao, Bailing L. Zhang, Xiaozheng Z. Zhang, Neural Computing and Applications . 2013,第1期

机译：多层感知器分类器的组合特征和随机子空间集成识别驾驶姿势
3. Recognizing driving postures by combined features of contourlet transform and edge orientation histogram, and random subspace classifier ensembles [J] . Chihang Zhao, Xiaozheng Zhang, Yunsheng Zhang, Journal of intelligent & fuzzy systems: Applications in Engineering and Technology . 2014,第4期

机译：通过Contourlet变换和边缘方向直方图以及随机子空间分类器组合的特征识别驾驶姿势
4. DETECTION OF PARKINSON'S DISEASE FROM VOCAL FEATURES USING RANDOM SUBSPACE CLASSIFIER ENSEMBLE [C] . Omer ESKIDERE, Ali KARATUTLU, Cevat UNAL International Conference on Disaster Recovery and Business Continuity . 2015

机译：使用随机子空间分类器合并检测来自声音特征的帕金森病
5. Reliable recognition of handwritten digits using a cascade ensemble classifier system and hybrid features [D] . Zhang, Ping. 2006

机译：使用级联集成分类器系统和混合功能可靠地识别手写数字
6. Phenotype Recognition with Combined Features and Random Subspace Classifier Ensemble [O] . Bailing Zhang, Tuan D Pham 2011

机译：具有组合特征和随机子空间分类器集合的表型识别
7. Phenotype Recognition with Combined Features and Random Subspace Classifier Ensemble [O] . Bailing Zhang, Tuan D Pham 2011

机译：具有组合特征和随机子空间分类器集合的表型识别
8. Building Ultra-Low False Alarm Rate Support Vector Classifier Ensembles Using Random Subspaces [R] . Chen, B. Y., Lemmond, T. D., Hanley, W. G. 2008

机译：利用随机子空间构建超低虚警率支持向量分类器集合

Erratum to: Recognition of driving postures by combined features and random subspace ensemble of multilayer perceptron classifiers

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