Yuechi Jiang
Orcid: 0000-0002-1715-2540
According to our database1,
Yuechi Jiang
authored at least 14 papers
between 2016 and 2023.
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Bibliography
2023
A GAN-Based Multi-Sensor Data Augmentation Technique for CNC Machine Tool Wear Prediction.
IEEE Access, 2023
2021
Vector-Based Feature Representations for Speech Signals: From Supervector to Latent Vector.
IEEE Trans. Multim., 2021
Investigating and improving the utility of probabilistic linear discriminant analysis for acoustic signal classification.
Digit. Signal Process., 2021
2019
IEEE Trans. Inf. Forensics Secur., 2019
2018
Using Double Regularization to Improve the Effectiveness and Robustness of Fisher Discriminant Analysis as A Projection Technique.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
The Scalable Version of Probabilistic Linear Discriminant Analysis and Its Potential as A Classifier for Audio Signal Classification.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Discriminative Collaborative Representation and Its Application to Audio Signal Classification.
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Fisher Discriminant Analysis with New Between-class Scatter Matrix for Audio Signal Classification.
Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018
Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018
Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018
Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018
2017
Using regularized fisher discriminant analysis to improve the performance of Gaussian supervector in session and device identification.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2016
Mobile phone identification from speech recordings using Weighted Support Vector Machine.
Proceedings of the IECON 2016, 2016