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Showing results 120601 to 120620 of 279282
| Learning Compressive Sensing Models for Big Spatio-Temporal Data Lee, Dongeun; Choi, Jaesik, The 2015 SIAM International Conference on Data Mining (SDM 2015), pp.667 - 675, SIAM (Society for Industrial and Applied Mathematics), 2015-04-30 |
| Learning conditional motion distribution for generating human motions in indoor environments = 실내 환경 내 인간 동작 생성을 위한 환경 조건부 동작 분포 학습link Jin, Taeil; Lee, Sung-Hee; et al, 한국과학기술원, 2023 |
| Learning constraint identification and classification for online model predictive planning at unsignalized intersections for autonomous vehicles = 비신호교차로에서 자율주행 차량의 실시간 모델 예측 제어 기반 계획을 위한 제약 조건 분류 학습link Syamil, Abi Rahman; Kum, Dongsuk; et al, 한국과학기술원, 2021 |
| Learning content management system & educational environment management system for personalized e-learning Park, Sang Chan, European Applied business Research Conference, 2003 |
| 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 context-aware adaptive solvers to accelerate convex quadratic programming = 2차 계획법 가속화를 위한 컨텍스트 인지 적응 학습link Jung, Haewon; 정해원; et al, 한국과학기술원, 2023 |
| Learning contextual representations of humans’ trajectory data = 인간의 이동 경로 데이터에 대한 문맥적 표현 학습link Hong, Junui; 홍준의; et al, 한국과학기술원, 2023 |
| LEARNING CONTINUOUS REPRESENTATION OF AUDIO FOR ARBITRARY SCALE SUPER RESOLUTION Kim, Jaechang; Lee, Yunjoo; Hong, Seunghoon; Ok, Jungseul, 47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022, pp.3703 - 3707, Institute of Electrical and Electronics Engineers Inc., 2022-05-23 |
| 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 cooperation in a tangible Moyangsung Park K.S.; Cho Hyun Sang; Lim J.; Cho Y.; Kang S.; Park S., 2nd International Conference on Virtual Reality, ICVR 2007, pp.689 - 698, 2007-07-22 |
| 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 covariance dynamics for path planning of UAV sensors in a large-scale dynamic environment Park, Sooho; Choi, Han-Lim; Roy, Nicholas; How, Jonathan P., 2011-08-31 |
| Learning creativity in the client-agency relationship Suh, Taewon; Jung, Jae C.; Smith, Bruce L., LEARNING ORGANIZATION, v.19, no.5, pp.428 - 439, 2012-07 |
| Learning critic network using priority in proximal policy optimization algorithm = 근접 정책 최적화 알고리즘에서 우선순위를 이용한 비평자 네트워크 학습link Hong, Kihun; Hwang, Ganguk; et al, 한국과학기술원, 2021 |
| 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 De-biased Representations with Biased Representations Bahng, Hyojin; Chun, Sanghyuk; Yun, Sangdoo; Choo, Jaegul; Oh, Seongjoon, 37th International Conference on Machine Learning, ICML 2020, pp.505 - 516, International Conference on Machine Learning Group, 2020-07 |
| Learning Debiased Representation via Disentangled Feature Augmentation Lee, Jungsoo; Kim, Eungyeup; Lee, Juyoung; Lee, Jihyeon; Choo, Jaegul, 35th Conference on Neural Information Processing Systems, NeurIPS 2021, Conference on Neural Information Processing Systems, 2021-12-07 |
| Learning debiased representation via disentangled feature augmentation = 분리된 특징 증강을 통한 데이터 편향 완화link Lee, Jungsoo; Choo, Jaegul; et al, 한국과학기술원, 2022 |
| Learning decomposable model-structures by applying graphs of minimal connectors Kim, Sung-Ho; Kil, Rhee Man, The 6th IASTED International Conference on Artificial Intelligence and Soft Computing, pp.60 - 65, 2002-07 |
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