Showing results 23521 to 23540 of 51409
Learning Self-Informed Feature Contribution for Deep Learning-Based Acoustic Modeling Kim, Younggwan; Kim, Myungjong; Goo, Jahyun; Kim, Hoirin, IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, v.26, no.11, pp.2204 - 2214, 2018-11 |
Learning Self-organized Topology-preserving Complex Speech Features at Primary Auditory Cortex Kim, Taesu; Lee, Soo-Young, Computational Neuroscience Annual Meeting, 2004-07 |
Learning self-organized topology-preserving complex speech features at primary auditory cortex Kim, T; Lee, Soo-Young, NEUROCOMPUTING, v.65, pp.793 - 800, 2005-06 |
LEARNING SOUND LOCALIZATION BETTER FROM SEMANTICALLY SIMILAR SAMPLES Senocak, Arda; Ryu, Hyeonggon; Kim, Junsik; Kweon, In-So, 47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022, pp.4863 - 4867, Institute of Electrical and Electronics Engineers Inc., 2022-05 |
Learning Spatio-temporal Features with Partial Expression Sequences for on-the-Fly Prediction Baddar, Wissam J; Ro, Yong Man, 32nd AAAI Conference on Artificial Intelligence / 30th Innovative Applications of Artificial Intelligence Conference / 8th AAAI Symposium on Educational Advances in Artificial Intelligence, pp.6666 - 6673, Association for the Advancement of Artificial Intelligence (AAAI), 2018-02-07 |
Learning Spatio-temporally Invariant Representations from Video Lim, Jae Hyun; Choi, Hansol; Park, Jun-Cheol; Jun, Jae Young; Kim Dae-Shik, IEEE World Congress on Computational Intelligence, pp.1 - 6, IEEE World Congress on Computational Intelligence, 2012-06-10 |
Learning Style Correlation For Elaborate Few-Shot Classification Kim, Junho; Kim, Minsu; Kim, Jung Uk; Lee, Hong Joo; Lee, Sangmin; Hong, Joanna; Ro, Yong Man, IEEE International Conference on Image Processing (ICIP) 2020, pp.1791 - 1795, IEEE Signal Processing Society, 2020-10-25 |
Learning Super-scale Microbump Pin Assignment Optimization for Real-world PCB Design with Graph Representation Park, Joonsang; Kim, Joungho; Choi, Seonguk; Kim, Haeyeon; Park, Hyunwook; Kim, SeongGuk; Shin, TaeIn, DesignCon 2022, IEEE, 2022-04-05 |
Learning the Dynamical System Behind Sensory Data 이재형; Lee, Soo-Young, NEURAL COMPUTATION, v.22, no.6, pp.1615 - 1645, 2010-06 |
Learning the Dynamical System Behind Sensory Data (only abstract) Lee, Jaehyung; Lee, Soo-Young, East-Asia Inter-University Workshop on Brain Engineering (EAW2010), 2010-03 |
Learning to adapt deep neural networks towards a novel image domain with a few target labels = 소량의 학습 레이블이 주어지는 영상 도메인으로의 심층 신경망 적응 기법link Kim, Yoonhyung; Kim, Changick; et al, 한국과학기술원, 2021 |
Learning to align multi-camera domains using part-aware clustering for unsupervised video person re-identification = 비지도 비디오 사람 재식별을 위한 부위 인식 군집화를 이용한 다중 카메라 도메인 정렬 방법link Kim, Youngeun; Kim, Changick; et al, 한국과학기술원, 2020 |
Learning to Associate Every Segment for Video Panoptic Segmentation Woo, Sanghyun; Kim, Dahun; Lee, Joon-Young; Kweon, In-So, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.2704 - 2713, IEEE, 2021-06 |
Learning to Demodulate From Few Pilots via Offline and Online Meta-Learning Park, Sangwoo; Jang, Hyeryung; Simeone, Osvaldo; Kang, Joonhyuk, IEEE TRANSACTIONS ON SIGNAL PROCESSING, v.69, pp.226 - 239, 2021-01 |
Learning to Discriminate Information for Online Action Detection Eun, Hyunjun; Moon, JiYoung; Park, JongYoul; Jung, ChanHo; Kim, Changick, IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, pp.806 - 815, IEEE Conference on Computer Vision and Pattern Recognition, 2020-06-16 |
Learning to Discriminate Information for Online Action Detection: Analysis and Application Lee, Sumin; Eun, Hyunjun; Moon, Jinyoung; Choi, Seokeon; Kim, Yoonhyung; Jung, Chanho; Kim, Changick, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.45, no.5, pp.5918 - 5934, 2023-05 |
Learning to Drive at Unsignalized Intersections using Attention-based Deep Reinforcement Learning Seong, Hyunki; Jung, Chanyoung; Lee, Seungwook; Shim, David Hyunchul, 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), pp.559 - 566, IEEE, 2021-09-19 |
Learning to embed, align, and augment : application to face and object recognition = 임베딩, 정렬, 증강을 위한 훈련 방법과 얼굴 및 객체 인식에의 응용link Lee, Donghoon; Yoo, Chang Dong; et al, 한국과학기술원, 2019 |
Learning to extract task-adaptive representation for incremental few-shot learning = 점진적 소수샷 학습을 위한 작업적응형 표상 추출기법link Kim, Do-Yeon; Moon, Jaekyun; et al, 한국과학기술원, 2021 |
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 |
Discover