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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), 2015
In 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

Relevance vector machine (RVM)

2023
Mohammad Reza Jabbari   +2 more
exaly   +2 more sources

Detection of the gas-bearing zone in a carbonate reservoir using multi-class relevance vector machines (RVM): comparison of its performance with SVM and PNN

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

Prediction on Internet Safety Situation of Relevance Vector Machine about GP-RVM Kernel Function

2016
In 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
openaire   +1 more source

Intelligent prediction of rock bolt debonding employing the fractal theory and relevance vector machine (FT-RVM) with piezoceramic transducers

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
openaire   +1 more source

Lane Change Intention Inference of Surrounding Vehicle: Comparative Study on Relevance Vector Machine (RVM) and Support Vector Machine (SVM)

2021 21st International Conference on Control, Automation and Systems (ICCAS), 2021
Jin Ho Yang   +2 more
openaire   +1 more source

Facies Identification Based on Multikernel Relevance Vector Machine

IEEE Transactions on Geoscience and Remote Sensing, 2020
Yangkang Chen, Jingye Li, Yangkang Chen
exaly  

Hybrid Model Based on Maxwell-Slip Model and Relevance Vector Machine

IEEE Transactions on Industrial Electronics, 2021
Yanfang Liu, Jiayu She, Naiming Qi
exaly  

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