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CNN-DFT Based Approach Applied to Image Inspection of Railcar Component: A Comparison with Machine Learning Methods.

, , , , , , and . J. Inf. Data Manag., (2020)

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Feature extraction improvements using an LMI approach and Riemannian geometry tools: An application to BCI., , and . CCA, page 966-971. IEEE, (2016)CNN-DFT Based Approach Applied to Image Inspection of Railcar Component: A Comparison with Machine Learning Methods., , , , , , and . J. Inf. Data Manag., (2020)Towards a LMI approach to feature extraction improvements and classification by Riemann distance., , , and . ICCA, page 990-995. IEEE, (2016)The performance impact of data augmentation in CSP-based motor-imagery systems for BCI applications., , , and . Biomed. Signal Process. Control., (2020)Feature Weighting on EEG Signal by Artificial Bee Colony for Classification of Motor Imaginary Tasks., , and . ICSI (2), volume 13345 of Lecture Notes in Computer Science, page 301-310. Springer, (2022)Manifold Learning-based Clustering Approach Applied to Anomaly Detection in Surveillance Videos., , , , , , and . VISIGRAPP (5: VISAPP), page 404-412. SCITEPRESS, (2020)κ-Entropy Based Restricted Boltzmann Machines., , , and . IJCNN, page 1-8. IEEE, (2019)Gait Recognition Based on Deep Learning: A Survey., , , , , , , , , and 1 other author(s). CoRR, (2022)