Browse "School of Electrical Engineering(전기및전자공학부)" by Title
Showing results 23501 to 23520 of 51409
| Learning discriminative multi-scale and multi-position LBP features for face detection based on Ada-LDA An, K.H.; Park, S.H.; Chung, Y.S.; Moon, K.Y.; Chung, Myung Jin, IEEE International Conference on Robotics and Biomimetics, ROBIO 2009, pp.1117 - 1122, IEEE, 2009-12-19 |
| Learning Features Robust to Image Variations with Siamese Networks for Facial Expression Recognition Alhaj Baddar, Wissam; Kim, Dae Hoe; Ro, Yong Man, International Conference on MultiMedia Modeling, Springer, 2017-01-04 |
| Learning Flexible and Fair Data Representations Usama, Muhammad; Chang, Dong Eui, IEEE ACCESS, v.10, pp.99235 - 99242, 2022-09 |
Learning for Goal-Directed Actions Using RNNPB: Developmental Change of "What to Imitate" Park, Jun Cheol; Kim, Dae-Shik; Nagai, Yukie, IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, v.10, no.3, pp.545 - 556, 2018-09 |
| Learning from computer simulations to tackle real-world problems = 현실 세상의 문제 해결을 위한 시뮬레이터 기반 기계학습link Kim, Hoon; Suh, Changho; et al, 한국과학기술원, 2019 |
| Learning from Imbalanced and Hierarchically Dual-Labeled Data Yun, Juseung; Kim, Youngdong; Yim, Junho; Cho, Hansang; Kim, Junmo, 2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018, Institute of Electrical and Electronics Engineers Inc., 2018-06 |
| Learning How to Demodulate from Few Pilots via Meta-Learning Park, Sangwoo; Jang, Hyeryung; Simeone, Osvaldo; Kang, Joonhyuk, 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2019, Institute of Electrical and Electronics Engineers Inc., 2019-07-02 |
| Learning Human Behavior Patterns for Proactive Service System: Agglomerative Fuzzy Clustering-based Fuzzy-state Q-learning Lee S.W.; Kim Y.S.; Bien, Zeung nam, 2008 International Conference on Computational Intelligence for Modelling Control and Automation, CIMCA 2008, pp.362 - 367, 123, 2008-12-10 |
| Learning Image Representations by Completing Damaged Jigsaw Puzzles Kim, Dahun; Cho, Donghyeon; Yoo, Donggeun; Kweon, In-So, IEEE Winter Conference on Applications of Computer Vision, pp.793 - 802, IEEE TPAMI TC, 2018-03-13 |
| Learning Imbalanced Datasets With Maximum Margin Loss Kang, Haeyong; Vu, Thang; Yoo, Chang-Dong, 2021 IEEE International Conference on Image Processing, ICIP 2021, pp.1269 - 1273, IEEE, 2021-09-19 |
| 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 loss for active learning Yoo, Donggeun; Kweon, In-So, 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.93 - 102, IEEE Conference on Computer Vision and Pattern Recognition, 2019-06-17 |
| Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency Lee, Seokju; Im, Sunghoon; Lin, Stephen; Kweon, In So, 35th AAAI Conference on Artificial Intelligence / 33rd Conference on Innovative Applications of Artificial Intelligence / 11th Symposium on Educational Advances in Artificial Intelligence, pp.1863 - 1872, ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE, 2021-02 |
| Learning Not to Learn: Training Deep Neural Networks with Biased Data Kim, Byungju; Kim, Hyunwoo; Kim, Kyungsu; Kim, Sungjin; Kim, Junmo, CVPR 2019 IEEE Conference on Computer Vision and Pattern Recognition , pp.9004 - 9012, IEEE Computer Society, the Computer Vision Foundation (CVF), 2019-06-20 |
| Learning of Counting Crowded Birds of Various Scales via Novel Density Activation Maps Kim, Saehun; Kim, Munchurl, IEEE ACCESS, v.8, pp.155296 - 155305, 2020-08 |
| Learning one-to-many mapping functions for audio-visual integrated perception Lim, J.H.; Oh, D.K.; Lee, Soo-Young, Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering VIII, Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering VIII, 2010-04-07 |
| Learning One-to-Many Mapping With Locally Linear Maps Based on Manifold Structure Oh, Do-Kwan; Oh, Sang-Hoon; Lee, Soo-Young, IEEE SIGNAL PROCESSING LETTERS, v.18, no.9, 2011-09 |
| Learning Open-World Object Proposals Without Learning to Classify Kim, Dahun; Lin, Tsung-Yi; Angelova, Anelia; Kweon, In So; Kuo, Weicheng, IEEE ROBOTICS AND AUTOMATION LETTERS, v.7, no.2, pp.5453 - 5460, 2022-04 |
| Learning optimal compact codebook for efficient object categorization Li, T.; Mei, T.; Kweon, In-So, 2008 IEEE Workshop on Applications of Computer Vision, WACV, pp.229, WACV '08, 2008-01-07 |
| Learning Residual Flow as Dynamic Motion from Stereo Videos Lee, Seokju; Im, Sunghoon; Lin, Stephen; Kweon, In-So, IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2019, pp.1180 - 1186, Institute of Electrical and Electronics Engineers Inc., 2019-11 |
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