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05/30/2023
Simulation-Aided Deep Learning for Laser Ultrasonic Visualization Testing
In recent years, laser ultrasonic visualization testing (LUVT) has attra...
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02/21/2023
Multi-Target Tobit Models for Completing Water Quality Data
Monitoring microbiological behaviors in water is crucial to manage publi...
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01/24/2021
Asymmetric Tobit analysis for correlation estimation from censored data
Contamination of water resources with pathogenic microorganisms excreted...
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01/05/2021
Learning Sign-Constrained Support Vector Machines
Domain knowledge is useful to improve the generalization performance of ...
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08/20/2020
Frank-Wolfe algorithm for learning SVM-type multi-category classifiers
Multi-category support vector machine (MC-SVM) is one of the most popula...
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08/16/2020
Adaptive Signal Variances: CNN Initialization Through Modern Architectures
Deep convolutional neural networks (CNN) have achieved the unwavering co...
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04/17/2018
Parametric Models for Mutual Kernel Matrix Completion
Recent studies utilize multiple kernel learning to deal with incomplete-...
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01/07/2018
Threshold Auto-Tuning Metric Learning
It has been reported repeatedly that discriminative learning of distance...
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10/12/2017
Sign-Constrained Regularized Loss Minimization
In practical analysis, domain knowledge about analysis target has often ...
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02/14/2017
Mutual Kernel Matrix Completion
With the huge influx of various data nowadays, extracting knowledge from...
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01/07/2016
Stochastic Dykstra Algorithms for Metric Learning on Positive Semi-Definite Cone
Recently, covariance descriptors have received much attention as powerfu...
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06/19/2015
