참고문헌
- F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, et al., "Scikit-learn: machine learning in Python," Journal of Machine Learning Research, vol. 12, pp. 2825-2830, 2011.
- M. Henrion, "Propagating uncertainty in Bayesian networks by probabilistic logic sampling," Machine Intelligence and Pattern Recognition, vol. 5, pp. 149-163, 1988. DOI: 10.1016/B978-0-444-70396-5.50019-4.
- C. Ma, C. Chen, Q. Liu, H. Gao, Q. Li, H. Gao, and Y. Shen, "Sound quality evaluation of the interior noise of pure electric vehicle based on neural network model," IEEE Transactions on Industrial Electronics, vol. 64, no. 12, pp. 9442-9450, 2017. DOI: 10.1109/TIE.2017.2711554.
- L. C. Jiao, S. Y. Yang, F. Liu, S. G. Wang, and Z. X. Feng, "Seventy years beyond neural networks: retrospect and prospect," Chinese Journal of Computers, vol. 39, no. 8, pp. 1697-1716, 2016.
- D. C. Ciresan, U. Meier, L. M. Gambardella, and J. Schmidhuber, "Deep, big, simple neural nets for handwritten digit recognition," Neural Computation, vol. 22, no. 12, pp. 3207-3220, 2010. DOI: 10.1162/NECO_a_00052.
- J. Schmidhuber, "Deep learning in neural networks: an overview," Neural Networks, vol. 61, pp. 85-117, 2015. DOI: 10.1016/j.neunet.2014.09.003.
- J. Y. Kim, S. W. Heo, and J. T. Lim, "A license plate recognition algorithm using multi-stage neural network for automobile black-box image," Journal of the Korea Information and Communication Engineering, vol. 22, no. 1, pp. 40-48, 2018.
- P. V. Kumaraguru and V. J. Chakravarthy, "An image feature extraction and image representation strategies for the analysis of image processing," Indian Journal of Forensic Medicine & Toxicology, vol. 11, no. 12, pp. 642-648, 2017. DOI: 10.5958/0973-9130.2017.00202.X.
- W. K. Wong, Z. Lai, J. Wen, X. Fang, and Y. Lu, "Low-rank embedding for robust image feature extraction," IEEE Transactions on Image Processing, vol. 26, no. 6, pp. 2905-2917, 2017. DOI: 10.1109/TIP.2017.2691543.
- M. I. Jordan and T. M. Mitchell, "Machine learning: trends, perspectives, and prospects," Science, vol. 349, no. 6245, pp. 255-260, 2015. DOI: 10.1126/science.aaa8415.
- A. Hayashi, K. Ishizaki, G. Koblents, and V. Sarkar, "Machine-learning-based performance heuristics for runtime CPU/GPU selection," in Proceedings of the Principles and Practices of Programming on the Java Platform, Melbourne, FL, pp. 27-36, 2015. DOI: 10.1145/2807426.2807429.
- K. Shin, C. Hwang, and H. Jung, "NoSQL database design using UML conceptual data model based on Peter Chen's frame- work," International Journal of Applied Engineering Research, vol. 12, no. 5, pp. 632-636, 2017.
피인용 문헌
- 주변 온도보상이 필요 없는 열선식 풍속 센서 시스템 vol.23, pp.10, 2018, https://doi.org/10.6109/jkiice.2019.23.10.1188
- Ensemble of Convolution Neural Networks for Driver Smartphone Usage Detection Using Multiple Cameras vol.18, pp.2, 2018, https://doi.org/10.6109/jicce.2020.18.2.75
- 글로벌 큐를 통한 임베디드 멀티코어 프로세서의 멀티 DNN 연산 성능 향상 vol.24, pp.6, 2018, https://doi.org/10.6109/jkiice.2020.24.6.714
- 자율주행차용 우선순위 기반 다중 DNN 모델 스케줄링 프레임워크 vol.25, pp.3, 2021, https://doi.org/10.6109/jkiice.2021.25.3.368
- 마이크로프로세서 기반의 얼굴 마스크 감지 vol.25, pp.3, 2021, https://doi.org/10.6109/jkiice.2021.25.3.490