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| Learning multivariate Hawkes process via graph neural network = 그래프 신경망을 이용한 다변량 호크 과정 학습link Yoon, Kanghoon; Park, Jinkyoo; et al, 한국과학기술원, 2021 |
| Learning Not to Learn: Training Deep Neural Networks with Biased Data Kim, Byungju; Kim, Hyunwoo; Kim, Kyungsu; Kim, Sungjin; Kim, Junmo, CVPR 2019 IEEE Conference on Computer Vision and Pattern Recognition , pp.9004 - 9012, IEEE Computer Society, the Computer Vision Foundation (CVF), 2019-06-20 |
Learning of Counting Crowded Birds of Various Scales via Novel Density Activation Maps Kim, Saehun; Kim, Munchurl, IEEE ACCESS, v.8, pp.155296 - 155305, 2020-08 |
| Learning on the Web through Virtual Reality: Developing an Educational Game 김형관, '98 Korean Society for Mathematical Education Spring Conf. Proc., 1999 |
| Learning one-to-many mapping functions for audio-visual integrated perception Lim, J.H.; Oh, D.K.; Lee, Soo-Young, Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering VIII, Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering VIII, 2010-04-07 |
| Learning One-to-Many Mapping With Locally Linear Maps Based on Manifold Structure Oh, Do-Kwan; Oh, Sang-Hoon; Lee, Soo-Young, IEEE SIGNAL PROCESSING LETTERS, v.18, no.9, 2011-09 |
| Learning one-to-many mapping with locally linear maps based on manifold structure = 다양체 구조에 기반한 국부적 선형 함수들을 이용한 일대다대응 함수의 학습link Oh, Do-Kwan; 오도관; et al, 한국과학기술원, 2011 |
| Learning Open-World Object Proposals Without Learning to Classify Kim, Dahun; Lin, Tsung-Yi; Angelova, Anelia; Kweon, In So; Kuo, Weicheng, IEEE ROBOTICS AND AUTOMATION LETTERS, v.7, no.2, pp.5453 - 5460, 2022-04 |
| Learning optimal compact codebook for efficient object categorization Li, T.; Mei, T.; Kweon, In-So, 2008 IEEE Workshop on Applications of Computer Vision, WACV, pp.229, WACV '08, 2008-01-07 |
| Learning Outside the Classroom During a Pandemic: Evidence from an Artificial Intelligence-Based Education App Ko, Ga Young; Shin, Donghyuk; Auh, Seigyoung; Lee, Yeonjung; Han, Sang Pil, Management Science, v.69, no.6, pp.3616 - 3649, 2023-06 |
| Learning per-machine linear dispatching rule for heterogeneous multi-machines control Kim, Namyong; Barde, Stephane; Bae, Kiwook; Shin, Hayong, INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, v.61, no.1, pp.161 - 181, 2023-01 |
| Learning Place Ambience from Images Using Deep ConvNet Yoon, Sanghoon; Kim, Taehun; Lee, Dongman; Hyun, Soon-Joo, 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017, pp.904 - 909, Institute of Electrical and Electronics Engineers Inc., 2017-12 |
| Learning Point Cloud Completion without Complete Point Clouds: A Pose-aware Approach Kim, Jihun; Yoon, Kuk-Jin; Kweon, Hyeokjun; Yang, Yunseo, International Conference on Computer Vision (ICCV) 2023, International Conference on Computer Vision (ICCV) 2023, 2023-10-04 |
| Learning Policy from Suboptimal Demonstrations under Transition Dynamic Mismatch Kim, Taesu; Wang, Jianhong; Antotsiou, Dafni; Kim, Tae-Kyun, Thirty-ninth International Conference on Machine Learning, Workshop on Adaptive Experimental Design and Active Learning, ICML, 2022-07-22 |
| Learning Polymorphic Neural ODEs with Time-evolving Mixture Yoon, Tehrim; Shin, Sumin; Yang, Eunho, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.45, no.1, pp.712 - 721, 2023-01 |
| Learning probabilistic dependency grammars for korean Seungmi Lee; Choi, Key-Sun, COMPUTER PROCESSING OF ORIENTAL LANGUAGES, v.12, no.3, pp.251 - 269, 1999-01 |
| Learning Probabilistic Models for Static Analysis Alarms Kim, Hyunsu; Raghothaman, Mukund; Heo, Kihong, The 44th ACM/IEEE International Conference on Software Engineering (ICSE 2022), pp.1282 - 1293, ACM, IEEE, 2022-05 |
| Learning probabilistic models for static analysis alarms = 정적 분석 알람을 위한 확률 모델 학습link Kim, Hyunsu; Heo, Ki Hong; et al, 한국과학기술원, 2022 |
| Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance Kim, Jinwoo; Hong, Seunghoon; Nguyen, Dat Tien; Suleymanzade, Ayhan; An, Hyeokjun, Thirty-seventh Conference on Neural Information Processing Systems, NeurIPS 2023, Neural Information Processing Systems Foundation, 2023-12-11 |
| Learning quadrupedal locomotion on deformable terrain = 변형 가능한 지형에서의 사족 보행 학습link Choi, Suyoung; Hwangbo, Jemin; et al, 한국과학기술원, 2022 |
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