Showing results 6741 to 6760 of 16139
Learning Fuzzy Set Representations of Partial Shapes on Dual Embedding Spaces Sung, Minhyuk; Dubrovina, Anastasia; Kim, Vladimir G.; Guibas, Leonidas, Computer Graphics Forum, v.37, no.5, pp.71 - 81, 2018-08 |
Learning hierarchical semantic image manipulation through structured representations Hong, Seunghoon; Yan, Xinchen; Huang, Thomas; Lee, Honglak, 32nd Conference on Neural Information Processing Systems, NeurIPS 2018, pp.2708 - 2718, Neural information processing systems foundation, 2018-12-02 |
Learning how spectator reactions affect popularity on twitch Kim, Jeongmin; Park, Kunwoo; Song, Hyeonho; Park, Jaimie Y; Cha, Meeyoung, 2020 IEEE International Conference on Big Data and Smart Computing, BigComp 2020, pp.147 - 154, Institute of Electrical and Electronics Engineers Inc., 2020-02-21 |
Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization Kwon, Myung-Joon; Nam, Seung-Hun; Yu, In-Jae; Lee, Heung-Kyu; Kim, Changick, INTERNATIONAL JOURNAL OF COMPUTER VISION, v.130, no.8, pp.1875 - 1895, 2022-08 |
Learning Low-Rank Representation for Matrix Completion Kwon, Minsu; Choi, Ho-Jin, 2020 IEEE International Conference on Big Data and Smart Computing, BigComp 2020, pp.161 - 164, IEEE,Korean Institute of Information Scientists and Engineers (KIISE), 2020-02-21 |
Learning Place Ambience from Images Using Deep ConvNet Yoon, Sanghoon; Kim, Taehun; Lee, Dongman; Hyun, Soon-Joo, 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017, pp.904 - 909, Institute of Electrical and Electronics Engineers Inc., 2017-12 |
Learning Policy from Suboptimal Demonstrations under Transition Dynamic Mismatch Kim, Taesu; Wang, Jianhong; Antotsiou, Dafni; Kim, Tae-Kyun, Thirty-ninth International Conference on Machine Learning, Workshop on Adaptive Experimental Design and Active Learning, ICML, 2022-07-22 |
Learning probabilistic dependency grammars for korean Seungmi Lee; Choi, Key-Sun, COMPUTER PROCESSING OF ORIENTAL LANGUAGES, v.12, no.3, pp.251 - 269, 1999-01 |
Learning Probabilistic Models for Static Analysis Alarms Kim, Hyunsu; Raghothaman, Mukund; Heo, Kihong, The 44th ACM/IEEE International Conference on Software Engineering (ICSE 2022), pp.1282 - 1293, ACM, IEEE, 2022-05 |
Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance Kim, Jinwoo; Hong, Seunghoon; Nguyen, Dat Tien; Suleymanzade, Ayhan; An, Hyeokjun, Thirty-seventh Conference on Neural Information Processing Systems, NeurIPS 2023, Neural Information Processing Systems Foundation, 2023-12-11 |
Learning Representations of Bi-Level Knowledge Graphs for Reasoning beyond Link Prediction Chung, Chanyoung; Whang, Joyce Jiyoung, The 37th AAAI Conference on Artificial Intelligence, pp.4208 - 4216, Association for the Advancement of Artificial Intelligence, 2023-02-10 |
Learning Sleep Quality from Daily Logs Park, Sungkyu; Li, Cheng-Te; Han, Sungwon; Hsu, Cheng; Lee, Sang Won; Cha, Meeyoung, 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), pp.2421 - 2429, ASSOC COMPUTING MACHINERY, 2019-08 |
Learning statistically efficient features for speaker recognition Jang, GJ; Lee, TW; Oh, Yung-Hwan, NEUROCOMPUTING, v.49, pp.329 - 348, 2002-12 |
Learning statistically efficient features for speaker recognition Jang, G.-J.; Lee, T.-W.; Oh, Yung-Hwan, 2001 IEEE Interntional Conference on Acoustics, Speech, and Signal Processing, pp.437 - 440, ICASSP, 2001-05-07 |
Learning statistically efficient features in time domain for single channel signal separation = 단일채널 신호분리를 위한 시간 영역에서의 통계적으로 효율적인 특징 학습link Jang, Gil-Jin; 장길진; et al, 한국과학기술원, 2004 |
Learning symmetric rules with SATNet = SATNet을 이용하여 대칭성을 가지는 논리적 문제 학습하기link Lim, Sangho; Yang, Hongseok; et al, 한국과학기술원, 2023 |
Learning Symmetric Rules with SATNet Lim, Sangho; Oh, Eun-Gyeol; Yang, Hongseok, The 36th Conference on Neural Information Processing Systems (NeurIPS 2022), Neural information processing systems foundation, 2022-11-30 |
Learning Symmetrization for Equivariance with Orbit Distance Minimization Nguyen, Dat Tien; Kim, Jinwoo; Hong, Seunghoon, Workshop on Symmetry and Geometry in Neural Representations, NeurIPS 2023, Neural Information Processing Systems Foundation, 2023-12-11 |
Learning Task Structure Via Sparsity Grouped Multitask Learning Kshirsagar, Meghana; Yang, Eunho; Lozano, Aurelie, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery, 2017-09-19 |
Learning test-mutant relationship for accurate fault localisation Kim, Jinhan; An, Gabin; Feldt, Robert; Yoo, Shin, INFORMATION AND SOFTWARE TECHNOLOGY, v.162, 2023-10 |
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