The Alternating Direction Method of Multipliers for Sufficient Dimension Reduction by Sheng Ma, Qin Jiang, Zaiqiang Ku

“…The minimum average variance estimation (MAVE) method has proven to be an effective approach to sufficient dimension reduction. In this study, we apply the computationally efficient optimization algorithm named alternating direction method of multipliers (ADMM) to a particular approach (MAVE or minimum average variance estimation) to the problem of sufficient dimension reduction (SDR). …”
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Dimension reduction for maximum matchings and the Fastest Mixing Markov Chain by Jain, Vishesh, Pham, Huy, Vuong, Thuy-Duong

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FAULT DIAGNOSIS BASED ON SEMI-SUPERVISED LLTSA FOR DIMENSION REDUCTION by LI Lei, PANG Hai, ZHANG QianTu

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Dimension-reduction MUSIC for jointly estimating DOA and polarization using plane polarized arrays by Wei-jian SI, Tong ZHU, Meng-ying ZHANG

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FAULT DIAGNOSIS BASED ON MIXED LABEL INFORMATION LOCALITY PRESERVING PROJECTIONS DIMENSION REDUCTION by YUAN LongYin, ZHANG QianTu, LEI Jing, WU ShengCai

“…The similarity matrix is used to preserve the local structure of the same-label samples before and after dimension reduction, whereas the divergence matrix is used to enlarge the distance between the different-label samples after dimension reduction. …”
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A dimension reduction assisted credit scoring method for big data with categorical features by Tatjana Miljkovic, Pei Wang

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Remarks on homogenization and $3D$-$2D$ dimension reduction of unbounded energies on thin films by Anza Hafsa, Omar, Mandallena, Jean-Philippe

“…We study periodic homogenization and $3D$-$2D$ dimension reduction by $\Gamma (\pi )$-con-vergence of heterogeneous thin films whose the stored-energy densities have no polynomial growth. …”
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Applying Simultaneously Monte Carlo Method and Dimension Reduction in Calculating the Reliability of Water Column Separation Phenomenon by Mehdi Azhdary Moghaddam, Sakineh Safari, Abdul Hamid BahrPeyma, Mohammad GivehChi

“…The result of this research shows that the dimension reduction method, along with the Monte Carlo method, is a practical solution for calculating and analyzing the reliability of the water supply network.…”
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Data processing method for telecom data based on projection pursuit by Jinming ZHAO

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A Manifold-Based Dimension Reduction Algorithm Framework for Noisy Data Using Graph Sampling and Spectral Graph by Tao Yang, Dongmei Fu, Jintao Meng

“…This paper proposes a new manifold-based dimension reduction algorithm framework. It can deal with the dimension reduction problem of data with noise and give the dimension reduction results with the deviation values caused by noise interference. …”
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Quick self-interference cancellation algorithm based on dimension reduction at radio frequency domain in full duplex system by Jun WANG, Hong-zhi ZHAO, You-xi TANG

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Dimension Reduction Big Data Using Recognition of Data Features Based on Copula Function and Principal Component Analysis by Fazel Badakhshan Farahabadi, Kianoush Fathi Vajargah, Rahman Farnoosh

“…Nowadays, data are generated in the world with high speed; therefore, recognizing features and dimensions reduction of data without losing useful information is of high importance. …”
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Multidimensional Scaling-Based Data Dimension Reduction Method for Application in Short-Term Traffic Flow Prediction for Urban Road Network by Yi Zhao, Satish V. Ukkusuri, Jian Lu

“…The data dimension reduction method can be divided into three steps. …”
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GPS Spoofing Detection using CAF Images and Neural Networks Based on the Proposed Peak Mapping Dimensionality Reduction Algorithm and TCNN Model by M. J. Jahantab, S. Tohidi, Mohammad Reza Mosavi, Ahmad Ayatollahi

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Geometrical shape learning as basis for compact microstructure representations and microstructure-properties linkages by Rodrigo Iza Teran, Daniela Steffes-lai, Lukas Morand

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Reduction algorithm based on supervised discriminant projection for network security data by Fangfang GUO, Hongwu LYU, Weilin REN, Ruini WANG

Subjects: “…data dimension reduction…”
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Variables Selection from the Patterns of the Features Applied to Spectroscopic Data—An Application Case by José L. Romero-Béjar, Francisco Javier Esquivel, José Antonio Esquivel

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FAULT DIAGNOSIS BASED ON SEMI-SUPERVISED ORTHOGONAL NEIGHBORHOOD ADAPTIVE LOCALITY PRESERVING PROJECTIONS by YANG Le

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Mathematical analysis and dynamic active subspaces for a long term model of HIV by Tyson Loudon, Stephen Pankavich

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Vector space embedding of DNS query behaviors by deep learning by Chang-ling ZHOU, Xing-long LUAN, Jian-guo XIAO

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