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	Decomposition-Based Classifier Chains for Multi-Dimensional Classification 期刊论文 IEEE Transactions on Artificial Intelligence, 2022, 卷号: 3, 期号: 2, 页码: 176-191 作者: Jia, Bin-Bin; Zhang, Min-Ling 收藏 \| 浏览/下载：10/0 \| 提交时间：2022/07/20 Computer vision Machine learning Semantics Binary classifiers Class dependency Classifier chain Classifier chains Comparatives studies Feature space Multi-class classifier Multi-dimensional classification Multiple class Performance
	Automated Localization of Myocardial Infarction of Image-Based Multilead ECG Tensor With Tucker2 Decomposition 期刊论文 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 15 作者: Zhang, Jieshuo; Liu, Ming; Xiong, Peng; Du, Haiman; Zhang, Hong 收藏 \| 浏览/下载：25/0 \| 提交时间：2022/06/06 Electrocardiography Feature extraction Tensors Data mining Location awareness Lead Heart beat Electrocardiograph image-based heartbeat tensor morphological core tensor myocardial infarction (MI) Tucker2 decomposition
	Deep Learning-Based Framework for the Detection of Cyberattack Using Feature Engineering 期刊论文 SECURITY AND COMMUNICATION NETWORKS, 2021, 卷号: 2021 作者: Akhtar, Muhammad Shoaib; Feng, Tao 收藏 \| 浏览/下载：13/0 \| 提交时间：2022/03/01
	Deep Learning Based Automatic Multiclass Wild Pest Monitoring Approach Using Hybrid Global and Local Activated Features 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 卷号: 17 作者: Liu, Liu; Xie, Chengjun; Wang, Rujing; Yang, Po; Sudirman, Sud 收藏 \| 浏览/下载：50/0 \| 提交时间：2021/09/06 Feature extraction Monitoring Machine learning Object detection Agriculture Proposals Image recognition Convolutional neural network (CNN) global activated feature pyramid network local activated region proposal network pest monitoring
	A comparison of neural networks algorithms for EEG and sEMG features based gait phases recognition 期刊论文 Biomedical Signal Processing and Control, 2021, 卷号: 68 作者: Wei, Pengna; Zhang, Jinhua; Tian, Feifei; Hong, Jun 收藏 \| 浏览/下载：90/0 \| 提交时间：2021/04/25 Surface electromyography (sEMG) Electroencephalogram (EEG) Gait phases recognition Feature dimension Feature-classifier combination
	Outdoor Shadow Estimating Using Multiclass Geometric Decomposition Based on BLS 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 5, 页码: 2152-2165 作者: Chen, Zhihua; Gao, Ting; Sheng, Bin; Li, Ping; Chen, C. L. Philip 收藏 \| 浏览/下载：12/0 \| 提交时间：2020/06/22 Lighting Sun Estimation Learning systems Feature extraction Neural networks Classification algorithms Broad learning system (BLS) illumination estimating Markov random field (MRF) multiclass integrating shadow synthesis
	An effective automatic system deployed in agricultural Internet of Things using Multi-Context Fusion Network towards crop disease recognition in the wild 期刊论文 APPLIED SOFT COMPUTING, 2020, 卷号: 89 作者: Zhao, Yushan; Liu, Liu; Xie, Chengjun; Wang, Rujing; Wang, Fangyuan 收藏 \| 浏览/下载：20/0 \| 提交时间：2020/11/26 Multiclass crop disease recognition Convolutional Neural Network Internet of Things Multi-Context Fusion Network ContextNet
	Decoding multiclass motor imagery EEG from the same upper limb by combining Riemannian geometry features and partial least squares regression 期刊论文 JOURNAL OF NEURAL ENGINEERING, 2020, 卷号: 17, 期号: 4, 页码: 1-18 作者: Chu YQ(褚亚奇); Zhao XG(赵新刚); Zou YJ(邹宜君); Xu WL(徐卫良); Song GL(宋国立) 收藏 \| 浏览/下载：34/0 \| 提交时间：2020/09/12 motor imagery EEG same upper limb Riemannian geometry features partial least squares regression brain-machine interface
	Simultaneous variable selection and class fusion with penalized distance criterion based classifiers 期刊论文 COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2019, 卷号: 133, 页码: 138-152 作者: Sheng, Ying; Wang, Qihua 收藏 \| 浏览/下载：42/0 \| 提交时间：2019/12/13 Linear discriminant analysis Discriminant directions Variable selection Class fusion Misclassification error rate
	Discriminative Feature Selection via Employing Smooth and Robust Hinge Loss 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 3, 页码: 788-802 作者: Peng, Hanyang; Liu, Cheng-Lin 收藏 \| 浏览/下载：39/0 \| 提交时间：2019/07/12 Accelerated proximal gradient (APG) extended hinge loss (HL) feature selection sparsity regularization

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