Results 151 to 160 of about 3,821,405 (172)
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Personal Authentication Using Relevance Vector Machine (RVM) for Biometric Match Score Fusion
2015 Seventh International Conference on Knowledge and Systems Engineering (KSE), 2015In this paper, the authors propose a personal authentication system using a combination of both face and fingerprint features. In the proposed system, face and fingerprint features are extracted by Zernike Moment (ZM), the extracted features are classified by Relevance Vector Machine (RVM), the generated matching scores are fused using sum rule ...
Thai Hoang Le
exaly +3 more sources
Carbonates and Evaporites, 2018
Automatic classification of seismic reflection data plays an important role in reservoir characterization and petroleum geosciences. Recently, the relevance vector machines (RVM) have attracted substantial interest in data classification literature. The RVM is a Bayesian variant of support vector machine (SVM) that can surmount the limitations of other
Reza Mohebian, Mohammad Ali Riahi
exaly +2 more sources
Automatic classification of seismic reflection data plays an important role in reservoir characterization and petroleum geosciences. Recently, the relevance vector machines (RVM) have attracted substantial interest in data classification literature. The RVM is a Bayesian variant of support vector machine (SVM) that can surmount the limitations of other
Reza Mohebian, Mohammad Ali Riahi
exaly +2 more sources
Prediction on Internet Safety Situation of Relevance Vector Machine about GP-RVM Kernel Function
2016In prediction of network security situation, the prediction accuracy of traditional single kernel function vector machine is a little low. It can’t describe the randomness and abruptness, and it has some limitation. A network security forecasting model was put forward which combined Gaussian kernel function and polynomial kernel to solve this problem ...
Xiaolan Xie, Zhen Long, Fahui Gu
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Smart Materials and Structures
Abstract A new intelligent prediction model incorporated fractal theory and relevance vector machine (FT-RVM) was proposed to detect the debonding status of the rock bolt by using the piezoceramic transducer-induced stress waves. In the FT-RVM model, the original signals under different debonding status are firstly decomposed by the ...
Yang Liu +4 more
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Abstract A new intelligent prediction model incorporated fractal theory and relevance vector machine (FT-RVM) was proposed to detect the debonding status of the rock bolt by using the piezoceramic transducer-induced stress waves. In the FT-RVM model, the original signals under different debonding status are firstly decomposed by the ...
Yang Liu +4 more
openaire +1 more source
2021 21st International Conference on Control, Automation and Systems (ICCAS), 2021
Jin Ho Yang +2 more
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Jin Ho Yang +2 more
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Facies Identification Based on Multikernel Relevance Vector Machine
IEEE Transactions on Geoscience and Remote Sensing, 2020Yangkang Chen, Jingye Li, Yangkang Chen
exaly
Hybrid Model Based on Maxwell-Slip Model and Relevance Vector Machine
IEEE Transactions on Industrial Electronics, 2021Yanfang Liu, Jiayu She, Naiming Qi
exaly
基于RVM的多类分类概率输出方法 (Multi-class Probability Output Based on Relevance Vector Machine).
计算机科学, 2017Rui Li 0026, Xiaodan Wang
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