Showing results 86421 to 86440 of 100524
Unsupervised anomaly detection in MR images using multicontrast information Kim, Byungjai; Kwon, Kinam; Oh, Changheun; Park, Hyunwook, MEDICAL PHYSICS, v.48, no.11, pp.7346 - 7359, 2021-11 |
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 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 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 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 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 Deformable Image Registration Using Polyphase UNet for 3D Brain MRI Volumes![]() Antoinette D. Martin; 김보아; 예종철, Investigative Magnetic Resonance Imaging, v.24, no.4, pp.223 - 231, 2020 |
Unsupervised Denoising for Satellite Imagery Using Wavelet Directional CycleGAN Song, Joonyoung; Jeong, Jae-Heon; Park, Dae-Soon; Kim, Hyun-Ho; Seo, Doo-Chun; Ye, Jong Chul, IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, v.59, no.8, pp.6823 - 6839, 2021-08 |
Unsupervised Domain Adaptation for 3D Point Clouds by Searched Transformations Kang, Dongmin; Nam, Yeongwoo; Kyung, Daeun; Choi, Jonghyun, IEEE ACCESS, v.10, pp.56901 - 56913, 2022 |
Unsupervised Extraction of Multi-Frame Features for Lip-Reading Lee, Soo-Young, NEURAL INFORMATION PROCESSING-LETTERS AND REVIEWS, v.10, no.4, pp.97 - 104, 2006-04 |
Unsupervised feature extraction for the representation and recognition of lip motion video Lee, Michelle Jeungeun; Lee, Kyungsuk David; Lee, Soo-Young, COMPUTATIONAL INTELLIGENCE AND BIOINFORMATICS, PT 3, PROCEEDINGS BOOK SERIES: LECTURE NOTES IN COMPUTER SCIENCE, v.4115, pp.741 - 746, 2006 |
Unsupervised inference of implicit biomedical events using context triggers![]() Chung, Jin-Woo; Yang, Wonsuk; Park, Jong C., BMC BIOINFORMATICS, v.21, no.1, 2020-01 |
Unsupervised learning algorithm for signal validation in emergency situations at nuclear power plants Choi, Younhee; Yoon, Gyeongmin; Kim, Jonghyun, NUCLEAR ENGINEERING AND TECHNOLOGY, v.54, no.4, pp.1230 - 1244, 2022-04 |
Unsupervised Learning for Crowdsourced Indoor Localization in Wireless Networks Jung, Suk-Hoon; Moon, Byung-chul; Han, Dong-Soo, IEEE TRANSACTIONS ON MOBILE COMPUTING, v.15, no.11, pp.2892 - 2906, 2016-11 |
Unsupervised learning of a deep neural network for metal artifact correction using dual-polarity readout gradients Kwon, Kinam; Kim, Dongchan; Kim, Byungjai; Park, Hyun Wook, MAGNETIC RESONANCE IN MEDICINE, v.83, no.1, pp.124 - 138, 2020-01 |
Unsupervised Legendre-Galerkin Neural Network for Solving Partial Differential Equations Choi, Junho; Kim, Namjung; Hong, Youngjoon, IEEE ACCESS, v.11, pp.23433 - 23446, 2023 |
Unsupervised random forest for affinity estimation Yi, Yunai; Sun, Diya; Li, Peixin; Kim, Tae-Kyun; Xu, Tianmin; Pei, Yuru, COMPUTATIONAL VISUAL MEDIA, v.8, no.2, pp.257 - 272, 2022-06 |
Unsupervised rapid speaker adaptation based on selective eigenvoice merging for user-specific voice interaction Choi, Dong-Jin; Park, Jeong-Sik; Oh, Yung-Hwan, ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, v.40, pp.95 - 102, 2015-04 |
Unsupervised resolution-agnostic quantitative susceptibility mapping using adaptive instance normalization Oh, Gyutaek; Bae, Hyokyoung; Ahn, Hyun-Seo; Park, Sung-Hong; Moon, Won-Jin; Ye, Jong Chul, MEDICAL IMAGE ANALYSIS, v.79, 2022-07 |
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