A robust hubness-based algorithm for image data stream classification
Author:
Funder
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s41060-024-00605-x.pdf
Reference42 articles.
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2. Gangineni, S.R., Nalla, H.R., Fathollahzadeh, S., Teymourian, K.: Real-time object recognition from streaming lidar point cloud data. In: DEBS, pp. 214–219. ACM, Darmstadt, Germany (2019). https://doi.org/10.1145/3328905.3330297
3. Awais, M., Iqbal, M.J., Ahmad, I., Alassafi, M.O., Alghamdi, R., Basheri, M., Waqas, M.: Real-time surveillance through face recognition using hog and feedforward neural networks. IEEE Access 7, 121236–121244 (2019). https://doi.org/10.1109/ACCESS.2019.2937810
4. Gong, M., Shu, Y.: Real-time detection and motion recognition of human moving objects based on deep learning and multi-scale feature fusion in video. IEEE Access 8, 25811–25822 (2020). https://doi.org/10.1109/ACCESS.2020.2971283
5. Chen, C., Li, W., Gao, L., Li, H., Plaza, J.: Special issue on advances in real-time image processing for remote sensing. J. Real-Time Image Proc. 15, 435–438 (2018). https://doi.org/10.1007/s11554-018-0831-7
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