Showing results 44741 to 44760 of 91093
Meta Batch-Instance Normalization for Generalizable Person Re-Identification Choi, Seokeon; Kim, Taekyung; Jeong, Minki; Park, Hyoungseob; Kim, Changick, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.3424 - 3434, IEEE Conference on Computer Vision and Pattern Recognition, 2021-06-22 |
Meta BCI : Hippocampus-Striatum Network Inspired Architecture Towards Flexible BCI Song, MR; Lee, Sang Wan, The 6th international winter conference on Brain-computer interface (IEEE BCI 2018), pp.28 - 30, IEEE, 2018-01 |
Meta criterion for expected uncertainty reduction of reliability under Kriging model 김민직; 이익진, 2021년도 대한기계학회 춘계학술대회 CAE 및 응용역학부문, pp.246 - 247, 대한기계학회, 2021-08 |
Meta learning low rank covariance factors for energy-based deterministic uncertainty Willette, Jeffrey Ryan; Lee, Hae Beom; Lee, Juho; Hwang, Sung Ju, Tenth International Conference on Learning Representations, International Conference on Learning Representations, 2022-04-27 |
Meta Variance Transfer: Learning to Augment from The Others Park, Seong-Jin; Han, Seungju; Baek, Jiwon; Kim, Insoo; Song, Juhwan; Lee, Hae Beom; Han, Jae-Joon; et al, 37th International Conference on Machine Learning, ICML 2020, pp.7466 - 7476, ICML, 2020-07-13 |
Meta-FusionNet: Multi-network Fusion Framework based on Network Calibration 윤성훈; 정희찬; 윤국진, 제32회 영상 처리 및 이해에 관한 워크샵(IPIU), 한국컴퓨터비전학회, 2020-02-05 |
Meta-Learning for Online Update of Recommender Systems Kim, MinSeok; Song, Hwanjun; Shin, Yooju; Park, Dongmin; Shin, Kijung; Lee, Jae-Gil, 36th AAAI Conference on Artificial Intelligence, AAAI 2022, pp.4065 - 4074, Association for the Advancement of Artificial Intelligence, 2022-02-25 |
Meta-learning for personalized golf swing monitoring to overcome motion variability between users Kim, Myeongsub; Kim, Jung; Park, Su-Kyung, ISB 2021, International Society of Biomechanics, 2021-07-26 |
Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs Kye, Seong Min; Jung, Youngmoon; Lee, Hae Beom; Hwang, Sung Ju; Kim, Hoi-Rin, Interspeech 2020, pp.2982 - 2986, ISCA, 2020-10-28 |
Meta-learning to communicate: Fast end-to-end training for fading channels Park, Sangwoo; Simeone, Osvaldo; Kang, Joonhyuk, 45th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020, Institute of Electrical and Electronics Engineers Inc., 2020-05-04 |
Meta-Learning with Self-Improving Momentum Target Tack, Jihoon; Park, Jongjin; Lee, Hankook; Lee, Jaeho; Shin, Jinwoo, 36th Conference on Neural Information Processing Systems, NeurIPS 2022, Neural information processing systems foundation, 2022-11 |
Meta-Path-based Fake News Detection Leveraging Multi-level Social Context Information Cui, Jian; Kim, Kwanwoo; Na, Seung Ho; Shin, Seungwon, 31st ACM International Conference on Information and Knowledge Management, CIKM 2022, pp.325 - 334, Association for Computing Machinery, 2022-10 |
Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets Lee, Hayeon; An, Sohyung; Kim, Minseon; Hwang, Sung Ju, The Eleventh International Conference on Learning Representations, ICLR 2023, International Conference on Learning Representations, 2023-05-01 |
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning Park, Dongmin; Shin, Yooju; Bang, Jihwan; Lee, Youngjun; Song, Hwanjun; Lee, Jae-Gil, 36th Conference on Neural Information Processing Systems, NeurIPS 2022, Neural Information Processing Systems, 2022-12-01 |
Meta-ViterbiNet: Online Meta-Learned Viterbi Equalization for Non-Stationary Channels Raviv,Tomer; Park, Sangwoo; Shlezinger, Nir; Simeone, Osvaldo; Eldar,Yonina C; Kang, Joonhyuk, 2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021, Institute of Electrical and Electronics Engineers Inc., 2021-06 |
MetaAnalyzer: A software tool for analyzing GC-MS data Park, Inho; Lee, KiYoung; Ha, Kiryong; Lee, Doheon; Lee, Kwang-Hyung, Proceedings of Int'l Conference on Systems Biology, 2006 |
Metaboilc engineering of Escherichia coli for production of 1,3-diaminopropane: a linear chain C3 diamine Chae, Tong Un; Kim, Won Jun; Choi, Sol; Park, Si Jae; Lee, Sang Yup, 2015 KMB 42nd Annual Meeting and International Symposium, 한국미생물생명공학회, 2015-06-24 |
Metabolic analysis of 242 Streptomyces strains using genome-scale metabolic models Lee, Byung Tae; Mohite, Omkar; Kwon, Mun Su; Lee, Sang Yup; Weber, Tilmann; Kim, Hyun Uk, Metabolic Engineering 15, American Institute of Chemical Engineers (AIChE), 2023-06-11 |
Metabolic analysis of cAMP effects on the production lactate by Lactococcus lactis Jin, J.H.; Jung, U.S.; Lee, SangYup; In, Y.H.; 이재우, Annual Meeting of Korean Society for Biotechnology and Bioengineering Symposium, Annual Meeting of Korean Society for Biotechnology and Bioengineering Symposium, 2004-10 |
Metabolic Analysis of In Silico Genome-Scale Models Using MetaFluxNet Lee, SangYup; Woo, H.M.; 이도연; 최한솔; 김태용; 윤홍석, BioInfo 2005, BioInfo 2005, 2005-09 |
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