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	A positioning method for maize seed laser-cutting slice using linear discriminant analysis based on isometric distance measurement 期刊论文 Information Processing in Agriculture, 2022, 卷号: 9, 期号: 2, 页码: 224-232 作者: Wei YZ(魏英姿); Gu KF(谷侃锋); Tan LT(谭龙田) 收藏 \| 浏览/下载：37/0 \| 提交时间：2021/07/06 Feature regions Isometric mapping Linear discriminant analysis Maize seed Molecular marker-assisted breeding echnology
	Modelling habitat suitability of the Indo-Pacific humpback dolphin using artificial neural network: The influence of shipping 期刊论文 ECOLOGICAL INFORMATICS, 2021, 卷号: 62, 页码: 9 作者: Lin, Mingli; Liu, Mingming; Lek, Sovan; Dong, Lijun; Zhang, Peijun 收藏 \| 浏览/下载：18/0 \| 提交时间：2021/06/11 Linear discriminant analysis Estuary Top-predator Cetacean Conservation
	KSELF Dimension Reduction Method Based on Rotor Fault Data Set 期刊论文 Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2021, 卷号: 41, 期号: 1, 页码: 13-18 作者: Hu, Wengang; Zhao, Rongzhen 收藏 \| 浏览/下载：14/0 \| 提交时间：2021/04/12 Discriminant analysis Fisher information matrix Linear transformations Metadata Statistical tests Classification accuracy Dimension reduction method Fault characteristics High dimensional spaces High-dimensional feature space Local Fisher Discriminant Analysis Nonlinear information Projection transformation
	Supervised Dimensionality Reduction Methods via Recursive Regression 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 9, 页码: 3269-3279 作者: Liu, Yun; Zhang, Rui; Nie, Feiping; Li, Xuelong; Ding, Chris 收藏 \| 浏览/下载：23/0 \| 提交时间：2020/10/23 Dimensionality reduction Linear discriminant analysis Eigenvalues and eigenfunctions Learning systems Computer science Optical imaging Optics Optimal scaling (OS) orthogonal least squares regression (OLSR) orthogonal linear discriminant analysis (OLDA) recursive regression supervised dimensionality reduction
	Multichannel bacterial discrimination based on recognition and disintegration disparity of short antimicrobial peptides 期刊论文 ANALYTICAL BIOCHEMISTRY, 2020, 卷号: 600, 页码: 7 作者: Qi, Peng; Wang, Yingwen; Zhang, Dun; Sun, Yan; Zheng, Laibao 收藏 \| 浏览/下载：11/0 \| 提交时间：2020/09/25 Bacterial discrimination Short antimicrobial peptides Recognition Disintegration Linear discriminant analysis
	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
	FPCANet: Fisher discrimination for Principal Component Analysis Network 期刊论文 Knowledge-Based Systems, 2019, 卷号: 166, 页码: 108-117 作者: Sun, Kai; Zhang, Jiangshe; Yong, Hongwei; Liu, Junmin 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/11/19 Competitive performance Convergence analysis Discriminative information Fisher discrimination Fisher linear discriminant analysis Fisher Principal Component Analysis Network (FPCANet) Machine learning methods Practical calculation
	WLAN indoor positioning based on D-LDA feature extraction algorithm 期刊论文 Lecture Notes in Electrical Engineering, 2019, 卷号: 463, 页码: 2779-2787 作者: Yu, J.; Deng, Z.; Liu, X.; Chen, J.; Na, Z. 收藏 \| 浏览/下载：19/0 \| 提交时间：2019/12/02 Database systems Discriminant analysis Eigenvalues and eigenfunctions Extraction Feature extraction Indoor positioning systems Maximum likelihood Nearest neighbor search Wireless local area networks (WLAN), Direct linear discriminant analysis Feature database Feature extraction algorithms Localization algorithm Positioning accuracy Weighted k-nearest neighbors WLAN Wlan indoor positioning, Signal processing
	Probabilistic Linear Discriminant Analysis With Vectorial Representation for Tensor Data 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 页码: 2938-2950 作者: Ju, Fujiao; Sun, Yanfeng; Gao, Junbin; Hu, Yongli; Yin, Baocai 收藏 \| 浏览/下载：14/0 \| 提交时间：2019/12/02 Bayesian inference dimension reduction face recognition linear discriminant analysis (LDA) tensor decomposition
	Application of Machine Learning Approaches for the Design and Study of Anticancer Drugs 期刊论文 CURRENT DRUG TARGETS, 2019, 卷号: 20, 页码: 488-500 作者: Hu, Yan[1]; Lu, Yi[2]; Wang, Shuo[3]; Zhang, Mengying[4]; Qu, Xiaosheng[5] 收藏 \| 浏览/下载：35/0 \| 提交时间：2019/04/22 Machine learning (ML) anticancer drugs linear discriminant analysis (LDA) principal components analysis (PCA) support vector machine (SVM) random forest (RF) k-nearest neighbor (kNN) naive bayes (NB) deep learning web servers

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