Browse "School of Computing(전산학부)" by Title
Showing results 6721 to 6740 of 16139
| Learnersourcing Modular and Dynamic Multiple Choice Questions Kim, Haesoo; Song, Inhwa; Kim, Juho, 1st Annual Workshop on Learnersourcing: Student-Generated Content @ Scale, LSGCS 2022, pp.30 - 34, ACM, 2022-06-01 |
| Learnersourcing Subgoal Hierarchies of Code Examples Jin, Hyoungwook; Kim, Juho, 1st Annual Workshop on Learnersourcing: Student-Generated Content @ Scale, LSGCS 2022, pp.35 - 39, CEUR-WS, 2022-06-01 |
| Learnersourcing subgoal labels for how-To videos Weir, Sarah; Kim, Juho; Gajos, Krzysztof Z.; Miller, Robert C., 18th ACM International Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2015, pp.405 - 416, ACM Special Interest Group on Computer-Human Interaction (SIGCHI), 2015-03-17 |
| Learning 3D object decomposition via natural language descriptions = 자연어를 활용한 3차원 객체 분할 학습link Koo, Juil; Sung, Minhyuk; et al, 한국과학기술원, 2023 |
| Learning 3D Part Assembly from a Single Image Li, Yichen; Mo, Kaichun; Shao, Lin; Sung, Minhyuk; Guibas, Leonidas, 16th European Conference on Computer Vision, ECCV 2020, pp.664 - 682, Springer Science and Business Media Deutschland GmbH, 2020-08 |
| Learning a Strategy for Adapting a Program Analysis via Bayesian Optimisation Oh, Hakjoo; Yang, Hongseok; Yi, Kwangkeun, ACM SIGPLAN NOTICES, v.50, no.10, pp.572 - 588, 2015-10 |
| Learning a variable-clustering strategy for octagon from labeled data generated by a static analysis Heo, Kihong; Oh, Hakjoo; Yang, Hongseok, 23rd International Symposium on Static Analysis, SAS 2016, pp.237 - 256, SAS Committee, 2016-09-08 |
| Learning algorithms and the inversion of fuzzy neural networks = 퍼지 신경망의 학습 알고리즘과 역연산에 관한 연구link Park, Sung-Woo; 박성우; et al, 한국과학기술원, 1998 |
| Learning Analysis Strategies for Octagon and Context Sensitivity from Labeled Data Generated by Static Analyses Heo, Kihong; Oh, Hakjoo; Yang, Hongseok, FORMAL METHODS IN SYSTEM DESIGN, v.53, no.2, pp.189 - 220, 2018-10 |
| Learning Bill Similarity with Annotated and Augmented Corpora of Bills Kim, Jiseon; Oh, Alice Haeyun; Kim, In Song; Griggs, Elden, The 2021 Conference on Empirical Methods in Natural Language Processing, Empirical Methods in Natural Language Processing (EMNLP 2021), 2021-11 |
| 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 deconvolution network for semantic segmentation Noh, Hyeonwoo; Hong, Seunghoon; Han, Bohyung, 15th IEEE International Conference on Computer Vision, ICCV 2015, pp.1520 - 1528, IEEE Computer Society and the Computer Vision Foundation (CVF), 2015-12-10 |
| Learning Deep Features for Source Color Laser Printer Identification based on Cascaded Learning Kim, Do-Guk; Hou, Jong-Uk; Lee, Heung-Kyu, NEUROCOMPUTING, v.365, no.1, pp.219 - 228, 2019-11 |
| Learning Economic Indicators by Aggregating Multi-level Geospatial Information Park, Sungwon; Han, Sungwon; Ahn, Donghyun; Kim, Jaeyeon; Yang, Jaesurk; Lee, Susang; Hong, Seunghoon; et al, 36th AAAI Conference on Artificial Intelligence, AAAI 2022, pp.12053 - 12061, Association for the Advancement of Artificial Intelligence, 2022-02-22 |
| Learning Embedding of 3D models with Quadric Loss Agarwal, Nitin; Yoon, Sung-Eui; Gopi, M, 30th British Machine Vision Conference (BMVC 2019), pp.1 - 11, British Machine Vision Association (BMVA), 2019-09-10 |
| Learning fault localisation for both humans and machines using multi-objective GP Choi, Kabdo; Sohn, Jeongju; Yoo, Shin, 10th International Symposium on Search-Based Software Engineering, SSBSE 2018, pp.349 - 355, Springer Verlag, 2018-09-09 |
| Learning Feature Aggregation for Deep 3D Morphable Models Chen, Zhixiang; Kim, Tae-Kyun, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.13159 - 13168, CVF and IEEE Computer Society, 2021-06-22 |
| Learning Fingertip Force to Grasp Deformable Objects for Soft Wearable Robotic Glove With TSM Rho, Eojin; Kim, Daekyum; Lee, Hochang; Jo, Sungho, IEEE ROBOTICS AND AUTOMATION LETTERS, v.6, no.4, pp.8126 - 8133, 2021-10 |
| Learning from demonstrations under transition dynamic mismatch = 상태 전이 함수의 변화에 강인한 시연 학습link Kim, Taesu; Kim, Tae-Kyun; et al, 한국과학기술원, 2022 |
| Learning From Noisy Labels With Deep Neural Networks: A Survey Song, Hwanjun; Kim, Minseok; Park, Dongmin; Shin, Yooju; Lee, Jae-Gil, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, v.34, no.11, pp.8135 - 8153, 2023-11 |
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