Showing results 210341 to 210360 of 278095
Unsupervised anomaly detection of the gas turbine operation via convolutional auto-encoder Lee, Geunbae; Jung, Myungkyo; Song, Myoungwoo; Choo, Jaegul, 2020 IEEE International Conference on Prognostics and Health Management, ICPHM 2020, Prognostics and Health Management Society, 2020-06 |
Unsupervised Attributed Multiplex Network Embedding Park, Chanyoung, AAAI Conference on Artificial Intelligence, AAAI-20, AAAI, 2020-02-07 |
Unsupervised behavioral modeling of an E-learning domain based on timed automata Gupta, S.; Sahni, H., International Journal of Applied Engineering Research, v.12, no.24, pp.15914 - 15922, 2017 |
Unsupervised Blur Kernel Estimation and Correction for Blind Super-Resolution Kim, Youngsoo; Ha, Jeonghyo; Cho, Yooshin; Kim, Junmo, IEEE ACCESS, v.10, pp.45179 - 45189, 2022 |
Unsupervised clustering for abnormality detection based on the tri-axial accelerometer Lee M.-S.; Lim J.-G.; Park K.-R.; Kwon, Dong-Soo, ICROS-SICE International Joint Conference 2009, ICCAS-SICE 2009, pp.134 - 137, 2009-08-18 |
UNSUPERVISED CONE-BEAM ARTIFACT REMOVAL USING CYCLEGAN AND SPECTRAL BLENDING FOR ADAPTIVE RADIOTHERAPY Park, Sangjoon; Ye, Jong Chul, 17th IEEE International Symposium on Biomedical Imaging, ISBI 2020, pp.638 - 641, IEEE, 2020-04 |
Unsupervised constellation model learning algorithm based on voting weight control for accurate face localization Chung, Jinyun; Kim, Taemin; Chae, Yeong Nam; Yang, Hyun-Seung, PATTERN RECOGNITION, v.42, no.3, pp.322 - 333, 2009-03 |
Unsupervised Contour Tracking of Live Cells by Mechanical and Cycle Consistency Losses Jang, Junbong; Lee, Kwonmoo; Kim, Tae-Kyun, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, pp.227 - 236, IEEE Computer Society, 2023-06-20 |
Unsupervised contour tracking of live cells by mechanical and cycle consistency losses = 비지도 학습을 통한 생세포의 윤곽선 추적link Jang, Junbong; 장준봉; et al, 한국과학기술원, 2023 |
Unsupervised Controllable Generation with Score-based Diffusion Models: Disentangled Latent Code Guidance Kim, Yeongmin; Kim, Dongjun; Lee, HeyonMin; Moon, Il-Chul, NeurIPS 2022 Workshop on Score-Based Methods at Conference on Neural Information Processing Systems, Neural Information Processing Systems, 2022-11-28 |
Unsupervised CT Metal Artifact Learning Using Attention-Guided beta-CycleGAN Lee, Junghyun; Gu, Jawook; Ye, Jong Chul, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.40, no.12, pp.3932 - 3944, 2021-12 |
Unsupervised damaged lane restoration for robust lane detection = 강인한 차선 인식을 위한 비지도 손상된 차선 복원link Kang, Jisu; Kim, Jong-Hwan; et al, 한국과학기술원, 2021 |
Unsupervised Deconvolution Neural Network for High Quality Ultrasound Imaging Khan, Shujaat; Huh, Jaeyoung; Ye, Jong Chul, 2020 IEEE International Ultrasonics Symposium, IUS 2020, IEEE, 2020-09 |
Unsupervised deep learning approach for microscope image reconstruction from single hologram intensity 이찬석; 장무석, Advanced Biophotonics Conference 2020, 한국광학회, 2020-11-07 |
Unsupervised deep learning for accelerated high quality echocardiography Khan, Shujaat; Huh, Jaeyoung; Ye, Jong Chul, 18th IEEE International Symposium on Biomedical Imaging, ISBI 2021, pp.1738 - 1741, IEEE Computer Society, 2021-04 |
Unsupervised deep learning for depth estimation with offset pixels Imran, Saad; Bin Mukarram, Sikander; Khan, Muhammad Umar Karim; Kyung, Chong-Min, OPTICS EXPRESS, v.28, no.6, pp.8619 - 8639, 2020-03 |
Unsupervised deep learning for depth estimation with offset pixels = 오프셋 픽셀을 사용한 깊이 추정을 위한 감독되지 않은 딥러닝link Bin Mukaram, Sikander; Shin, Jinwoo; et al, 한국과학기술원, 2020 |
Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective Akcakaya, Mehmet; Yaman, Burhaneddin; Chung, Hyungjin; Ye, Jong Chul, IEEE SIGNAL PROCESSING MAGAZINE, v.39, no.2, pp.28 - 44, 2022-03 |
Unsupervised Deep One-Class Classification with Adaptive Threshold based on Training Dynamics Kim, Minkyung; Kim, Junsik; Yu, Jongmin; Choi, Jun Kyun, 22nd IEEE International Conference on Data Mining Workshops, ICDMW 2022, pp.39 - 46, IEEE Computer Society, 2022-11 |
Unsupervised deep quantitative susceptibility mapping reconstruction using physics-based CycleGAN = 물리 기반 순환 생성적 적대 신경망을 이용한 비지도 심층 학습 기반의 정량적 자기 민감도 영상 복원link Oh, Gyutaek; Ye, Jong Chul; et al, 한국과학기술원, 2021 |
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