Browse "School of Electrical Engineering(전기및전자공학부)" by Title
Showing results 23601 to 23620 of 51620
| Learning audio-visual relationships and correspondences in the visual scenes = 시각과 청각 정보 간의 관련성 학습 기법link Senocak, Arda; Kweon, In So; et al, 한국과학기술원, 2022 |
| Learning Augmentation Network via Influence Functions Lee, Donghoon; Park, Hyunsin; Pham, Trung; Yoo, Chang D., 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.10958 - 10967, IEEE, 2020-06-17 |
| Learning based adaptive visual sensor fusion for robust pedestrian detection = 강인한 보행자 검출을 위한 학습 기반 적응적 시각 센서 융합 기법link Hwang, Soonmin; Kweon, In So; et al, 한국과학기술원, 2019 |
| Learning based approach for speed-of-sound adaptive Rx beamforming Kim, Young-Min; Kim, Myeong-Gee; Oh, Seok-Hwan; Jung, Gu-Il; Bae, Hyeon-Min, IEEE International Ultrasonics Symposium (IEEE IUS), IEEE, 2021-09-11 |
| Learning based cost optimal energy management model for campus microgrid systems Kim, Jangkyum; Oh, Hyeontaek; Choi, Jun Kyun, APPLIED ENERGY, v.311, 2022-04 |
| Learning based hole filling method using deep convolutional neural networks for view synthesis Lim, Heountaek; Kim, Hak Gu; Ro, Yong Man, IS&T International Symposium on Electronic Imaging 2016, IS&T, 2016-02-17 |
| Learning based utility maximization for multi-resource management = 학습 기반 네트워크 만족도 최대화를 통한 멀티 리소스 관리link Lee, Dong-Hoon; Song, Chong; et al, 한국과학기술원, 2018 |
| Learning Classifiers of Prototypes and Reciprocal Points for Universal Domain Adaptation Hur, Sungsu; Shin, Inkyu; Park, Kwanyong; Woo, Sanghyun; Kweon, In-So, 23rd IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2023, pp.531 - 540, Institute of Electrical and Electronics Engineers Inc., 2023-01 |
| Learning classifiers of prototypes and reciprocal points for universal domain adaptation = 임시 중점과 반대점 학습을 통한 보편적 영역 적응link Hur, Sungsu; Kweon, In So; et al, 한국과학기술원, 2023 |
| Learning codeword characteristics for image retrieval using very high dimensional bag-of-words representation = 초 고차원 표현법 기반의 이미지 검색을 위한 코드워드 중요성 학습 방법link Yoo, Dong-Geun; 유동근; et al, 한국과학기술원, 2013 |
| Learning Collarative Policies to Solve NP-hard Routing Problems Kim, Minsu; Kim, Joungho; Park, Jinkyoo, 35th Conference on Neural Information Processing Systems, NeurIPS 2021, Neural Information Processing Systems Foundation, 2021-12-06 |
| Learning Color Representations for Low-Light Image Enhancement Kim, Bomi; Lee, Sunhyeok; Kim, Nahyun; Jang, Donggon; Kim, Dae-Shik, 22nd IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022, pp.904 - 912, IEEE Computer Society, 2022-01-05 |
| Learning color representations for low-light image enhancement = 저조도 이미지 복원을 위한 색상 정보 학습link Kim, Bomi; Kim, Dae-Shik; et al, 한국과학기술원, 2022 |
| Learning Contention Patterns and Adapting to Load/Topology Changes in a MAC Scheduling Algorithm Yi, Yung; Veciana, Gustavo de; Shakkottai, Sanjay, IEEE WiMesh, IEEE, 2006-09-25 |
| Learning Controller Design Based on 2-D System Theory Bien, Zeung nam, 1991 IFAC Symposium on Distributed Intelligence Systems, pp.151 - 154, 1991 |
| Learning Convolutional Neural Network Using Data from Other Domains in case of Insufficient Data Ha, Jeonghyo; Eun, Jung; Ahn, Pyunghwan; Shin, Dong Hoon; Kim, Junmo, International Conference on Information Science and System (ICISS), pp.122 - 126, ASSOC COMPUTING MACHINERY, 2018-04 |
| Learning coordinated behaviors in multi-agent reinforcement learning = 다중 에이전트 강화학습의 행동 조화 학습 방법 연구link Kim, Woojun; Sung, Youngchul; et al, 한국과학기술원, 2023 |
| Learning data dependency with communication cost Jang, Hyeryung; Song, Hyungseok; Yi, Yung, 19th ACM International Symposium on Mobile Ad-Hoc Networking and Computing, MobiHoc 2018, pp.171 - 180, Association for Computing Machinery, 2018-06-26 |
| Learning dense pixel features for video understanding and processing = 비디오 이해와 처리를 위한 픽셀 표현 학습link Kim, Dahun; Kweon, In So; et al, 한국과학기술원, 2022 |
| Learning Discriminative Features form Subtle Differences for Efficient Classification Lee, Soo-Young, 16th International Conference on Neural Information Processing, ICONIP2009, 2009-12-01 |
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