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Face recognition based on subset selection via metric learning on manifold
Hong SHAO,Shuang CHEN,Jie-yi ZHAO,Wen-cheng CUI,Tian-shu YU
Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 12, Pages 1046-1058 doi: 10.1631/FITEE.1500085
Keywords: Face recognition Sparse representation Manifold structure Metric learning Subset selection
A software defect prediction method with metric compensation based on feature selection and transferlearning Research Article
Jinfu CHEN, Xiaoli WANG, Saihua CAI, Jiaping XU, Jingyi CHEN, Haibo CHEN,caisaih@ujs.edu.cn
Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 5, Pages 715-731 doi: 10.1631/FITEE.2100468
Keywords: Defect prediction Feature selection Transfer learning Metric compensation
A Local Quadratic Embedding Learning Algorithm and Applications for Soft Sensing Article
Yaoyao Bao, Yuanming Zhu, Feng Qian
Engineering 2022, Volume 18, Issue 11, Pages 186-196 doi: 10.1016/j.eng.2022.04.025
Inspired by the tremendous achievements of meta-learning in various fields, this paper proposes thelocal quadratic embedding learning (LQEL) algorithm for regression problems based on metric learningFirst, Mahalanobis metric learning is improved by optimizing the global consistency of the metrics betweenThen, we further prove that the improved metric learning problem is equivalent to a convex programming
Keywords: Local quadratic embedding Metric learning Regression machine Soft sensor
Image-based 3D model retrieval using manifold learning None
Pan-pan MU, San-yuan ZHANG, Yin ZHANG, Xiu-zi YE, Xiang PAN
Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 11, Pages 1397-1408 doi: 10.1631/FITEE.1601764
Keywords: Model retrieval Euclidean space Riemannian manifold Hilbert space Metric learning
Discoverymethod for distributed denial-of-service attack behavior inSDNs using a feature-pattern graphmodel Special Feature on Future Network-Research Article
Ya XIAO, Zhi-jie FAN, Amiya NAYAK, Cheng-xiang TAN
Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 9, Pages 1195-1208 doi: 10.1631/FITEE.1800436
Keywords: Software-defined network Distributed denial-of-service (DDoS) Behavior discovery Distance metric learning
A comprehensive review and analysis of solar forecasting techniques
Pardeep SINGLA, Manoj DUHAN, Sumit SAROHA
Frontiers in Energy 2022, Volume 16, Issue 2, Pages 187-223 doi: 10.1007/s11708-021-0722-7
Keywords: forecasting techniques hybrid models neural network solar forecasting error metric support vector machine
Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 6, doi: 10.1007/s11783-023-1677-1
● MSWNet was proposed to classify municipal solid waste.
Keywords: Municipal solid waste sorting Deep residual network Transfer learning Cyclic learning rate Visualization
Spatial prediction of soil contamination based on machine learning: a review
Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 8, doi: 10.1007/s11783-023-1693-1
● A review of machine learning (ML) for spatial prediction of soil
Keywords: Soil contamination Machine learning Prediction Spatial distribution
Elucidate long-term changes of ozone in Shanghai based on an integrated machine learning method
Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 11, doi: 10.1007/s11783-023-1738-5
● A novel integrated machine learning method to analyze O3
Keywords: Ozone Integrated method Machine learning
Calculation of the Behavior Utility of a Network System: Conception and Principle Article
Changzhen Hu
Engineering 2018, Volume 4, Issue 1, Pages 78-84 doi: 10.1016/j.eng.2018.02.010
The service and application of a network is a behavioral process that is oriented toward its operations and tasks, whose metrics and evaluation are still somewhat of a rough comparison. This paper describes scenes of network behavior as differential manifolds. Using the homeomorphic transformation of smooth differential manifolds, we provide a mathematical definition of network behavior and propose a mathematical description of the network behavior path and behavior utility. Based on the principle of differential geometry, this paper puts forward the function of network behavior and a calculation method to determine behavior utility, and establishes the calculation principle of network behavior utility. We also provide a calculation framework for assessment of the network’s attack-defense confrontation on the strength of behavior utility. Therefore, this paper establishes a mathematical foundation for the objective measurement and precise evaluation of network behavior.
Keywords: Network metric evaluation Differential manifold Network behavior utility Network attack-defense confrontation
Machine learning in building energy management: A critical review and future directions
Frontiers of Engineering Management 2022, Volume 9, Issue 2, Pages 239-256 doi: 10.1007/s42524-021-0181-1
Keywords: building energy management machine learning integrated framework knowledge evolution
Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2, Pages 183-197 doi: 10.1007/s11705-021-2073-7
Keywords: machine learning flowsheet simulations constraints exploration
Machine learning for fault diagnosis of high-speed train traction systems: A review
Frontiers of Engineering Management doi: 10.1007/s42524-023-0256-2
Keywords: high-speed train traction systems machine learning fault diagnosis
Dynamic prediction of moving trajectory in pipe jacking: GRU-based deep learning framework
Frontiers of Structural and Civil Engineering Pages 994-1010 doi: 10.1007/s11709-023-0942-5
Keywords: dynamic prediction moving trajectory pipe jacking GRU deep learning
Machine learning modeling identifies hypertrophic cardiomyopathy subtypes with genetic signature
Frontiers of Medicine 2023, Volume 17, Issue 4, Pages 768-780 doi: 10.1007/s11684-023-0982-1
Keywords: machine learning methods hypertrophic cardiomyopathy genetic risk
Title Author Date Type Operation
Face recognition based on subset selection via metric learning on manifold
Hong SHAO,Shuang CHEN,Jie-yi ZHAO,Wen-cheng CUI,Tian-shu YU
Journal Article
A software defect prediction method with metric compensation based on feature selection and transferlearning
Jinfu CHEN, Xiaoli WANG, Saihua CAI, Jiaping XU, Jingyi CHEN, Haibo CHEN,caisaih@ujs.edu.cn
Journal Article
A Local Quadratic Embedding Learning Algorithm and Applications for Soft Sensing
Yaoyao Bao, Yuanming Zhu, Feng Qian
Journal Article
Image-based 3D model retrieval using manifold learning
Pan-pan MU, San-yuan ZHANG, Yin ZHANG, Xiu-zi YE, Xiang PAN
Journal Article
Discoverymethod for distributed denial-of-service attack behavior inSDNs using a feature-pattern graphmodel
Ya XIAO, Zhi-jie FAN, Amiya NAYAK, Cheng-xiang TAN
Journal Article
A comprehensive review and analysis of solar forecasting techniques
Pardeep SINGLA, Manoj DUHAN, Sumit SAROHA
Journal Article
MSWNet: A visual deep machine learning method adopting transfer learning based upon ResNet 50 for municipal
Journal Article
Elucidate long-term changes of ozone in Shanghai based on an integrated machine learning method
Journal Article
Calculation of the Behavior Utility of a Network System: Conception and Principle
Changzhen Hu
Journal Article
Machine learning in building energy management: A critical review and future directions
Journal Article
Using machine learning models to explore the solution space of large nonlinear systems underlying flowsheet
Journal Article
Dynamic prediction of moving trajectory in pipe jacking: GRU-based deep learning framework
Journal Article