Showing results 23661 to 23680 of 51619
Learning to factorize with regularization for cooperative multi-agent reinforcement learning = 협력을 위한 다중 에이전트 강화 학습에서의 정규화를 통한 분해 학습link Son, Kyunghwan; Yi, Yung; et al, 한국과학기술원, 2019 |
Learning to generate proactive and reactive behavior using a dynamic neural network model with time-varying variance prediction mechanism Murata, Shingo; Arie, Hiroaki; Ogata, Tetsuya; Sugano, Shigeki; Tani, Jun, ADVANCED ROBOTICS, v.28, no.17, pp.1189 - 1203, 2014-10 |
Learning to lip read words by watching videos Chung, Joon Son; Zisserman, Andrew, COMPUTER VISION AND IMAGE UNDERSTANDING, v.173, pp.76 - 85, 2018-08 |
Learning to Localize Sound Source in Visual Scenes SENOCAK, Arda; Oh, Tae-Hyun; Kim, Junsik; Yang, Ming-Hsuan; Kweon, In-So, 31st IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.4358 - 4366, IEEE Computer Society and the Computer Vision Foundation (CVF), 2018-06-20 |
Learning to Localize Sound Sources in Visual Scenes: Analysis and Applications Senocak, Arda; Oh, Tae-Hyun; Kim, Junsik; Yang, Ming-Hsuan; Kweon, In-So, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.43, no.5, pp.1605 - 1619, 2021-05 |
Learning to Maximize Speech Quality Directly Using MOS Prediction for Neural Text-to-Speech Choi, Yeunju; Jung, Youngmoon; Suh, Youngjoo; Kim, Hoi-Rin, IEEE ACCESS, v.10, pp.52621 - 52629, 2022-05 |
Learning to Perceive the World as Probabilistic or Deterministic via Interaction With Others: A Neuro-Robotics Experiment Murata, Shingo; Yamashita, Yuichi; Arie, Hiroaki; Ogata, Testsuya; Sugano, Shigeki; Tani, Jun, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, v.28, no.4, pp.830 - 848, 2017-04 |
Learning to Reproduce Fluctuating Behavioral Sequences Using a Dynamic Neural Network Model with Time-Varying Variance Estimation Mechanism Tani, Jun; Murata, Shingo; Namikawa, J; Arie, H; Sugano, H, The Third Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, pp.1 - 6, IEEE, 2013-08-22 |
Learning to Reproduce Fluctuating Time Series by Inferring Their Time-Dependent Stochastic Properties: Application in Robot Learning Via Tutoring Murata, Shingo; Namikawa, Jun; Arie, Hiroaki; Sugano, Shigeki; Tani, Jun, IEEE TRANSACTIONS ON AUTONOMOUS MENTAL DEVELOPMENT, v.5, no.4, pp.298 - 310, 2013-12 |
Learning to reproduce stochastic time series using stochastic LSTM Gulshad, Sadaf; Sigmund, Dick; Kim, Jong-Hwan, Neural Networks (IJCNN), 2017 International Joint Conference on, IEEE, 2017-05-14 |
Learning to Schedule Communication in Multi-agent Reinforcement Learning Kim, Daewoo; Moon, Sangwoo; Hostallero, David; Kang, Wan Ju; Lee, Taeyoung; Son, Kyunghwan; Yi, Yung, ICLR 2019: International Conference on Representation Learning, International Conference on Representation Learning, 2019-05 |
Learning Tonotopically Organized Auditory Feature-map from Speech by an Intermap Pooling Layer in a Deep CNN (only abstract) Hwaran, Lee; GEONMIN, KIM; Kim, Ho-Gyeong; Lee, Soo Young, 15th China-Japan-Korea Joint Workshop on Neurobiology and Neuroinformatics (NBNI2015), Brain Engineering Society of Korea, 2015-12-21 |
Learning unpaired video-to-video translation for domain adaptation = 도메인 적응을 위한 비디오 간 변환 학습법link Park, Kwanyong; Kweon, In So; et al, 한국과학기술원, 2019 |
Learning visual representations from uncurated data = 정제되지 않은 데이터로부터 시각적 표현 학습link Mo, Sangwoo; 모상우; et al, 한국과학기술원, 2023 |
Learning Visual-to-Audio Mapping with Locally Linear Maps on Manifold Structure (abstract only) Lee, Soo-Young; Oh, Do Kwan, East-Asia Inter-University Workshop on Brain Engineering 2009, 2009 |
Learning Visual-to-audio Mapping with Locally Linear Maps on Manifold Structure (only abstract) Oh, Do Kwan; Lee, Soo-Young, East-Asia Inter-University Workshop on Brain Engineering (EAW2010), 2010-03 |
Learning with edge-labeling graph : applications to image segmentation and few-shot learning = 엣지 라벨링 그래프 기반 학습 : 이미지 세그멘테이션과 소수 샷 러닝에 대한 적용link Kim, Jongmin; Yoo, Chang Dong; et al, 한국과학기술원, 2019 |
Learning-Based Adaptive Imputation Method with kNN Algorithm for Missing Power Data Kim, Minkyung; Park, Sangdon; Lee, Joohyung; Joo, Yongjae; Choi, Jun Kyun, ENERGIES, v.10, no.10, 2017-10 |
Learning-based adaptive imputation method with kNN algorithm for missing power data = kNN 알고리즘을 기반으로 학습 기법을 도입한 누락된 전력 데이터 추정법에 관한 연구link Kim, Minkyung; Choi, Junkyun; et al, 한국과학기술원, 2018 |
Learning-Based Approach for Real-Time Versatile Ultrasound Computed Tomography Oh, Seok Hawn; Gibbeum, Lee; Myeong-Gee, Kim; Hyeon-Min, Bae, IEEE International Ultrasonics Symposium (IUS), pp.443 - 447, IEEE, 2019-10 |
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