Browse "School of Computing(전산학부)" by Title
Showing results 2601 to 2620 of 16020
| Bayesian weight decay for deep convolutional neural networks : approximation and generalization = 심층 회선 신경망의 베이지언 가중치 감쇠 : 근사화와 일반화link Park, Jung-Guk; Jo, Sungho Jo; et al, 한국과학기술원, 2020 |
| Bayesian Weight Decay on Bounded Approximation for Deep Convolutional Neural Networks Park, Jung Guk; Jo, Sung-Ho, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, v.30, no.9, pp.2866 - 2875, 2019-09 |
| BCE-Processor: Boost Up Event Processing for Large-scale Sensor-rich Ubiquitous Environment Lee, Jinwon; Lee, Youngki; Kang, Seungwoo; Lee, SangJeong; Song, Junehwa, International Conference on Distributed Event-based Systems, DEBS, 2008-07-01 |
| BCI based Hybrid Interface for 3D Object Control in Virtual Reality Jeong, Jin Seong; Bae, Byung Wook; Jo, Sung Ho, 2016 4th International Winter Conference on Brain-Computer Interface, IEEE Systems, Man, and Cybernetics Society, 2016-02-23 |
| Bdh-Tree: A B+-Tree based Indexing Method for Very Frequent Updates of Moving Objects Seo, D.M.; Song, S.I.; Park, Y.H.; Yoo, J.S.; Kim, Myoung Ho, CSA 2008, The International Symposium on Computer Science and its Applications, pp.314 - 319, CSA, 2008-10-13 |
| Beacon device using GS1 code, operating method thereof and service providing method using the same Kim, Daeyoung; Yoon, Wondeuk; Kwon, Kiwoong, 2019-01-22 |
| BeActive: Encouraging Physical Activities with Just-in-time Health Intervention and Micro Financial Incentives Sun, Juho; Park, Sangkeun; Jung, Gyuwon; Jeong, Yong; Lee, Uichin; Chung, Kyong-Mee; Lee, Changseok; et al, 2020 Symposium on Emerging Research from Asia and on Asian Contexts and Cultures, AsianCHI 2020 - Part of CHI 2020, pp.17 - 20, Association for Computing Machinery, 2020-04-25 |
| BEAR: Block Elimination Approach for Random Walk with Restart on Large Graphs Shin, Kijung; Jung, Jinhong; Lee, Sael; Kang, U, the proceedings of 2015 ACM International Conference on Management of Data, ACM Special Interest Group on Management of Data (SIGMOD), 2015-06-03 |
| Beat tracking from conducting data with musical pieces = 악곡을 고려한 지휘 데이터에서의 박자 추적link Ryu, Hyeonguk; Choi, Sunghee; et al, 한국과학기술원, 2019 |
| BebeCODE: Collaborative Child Development Tracking System Song, Seok Woo; Kim, Juho; Kang, Bumsoo; Park, Wonjeong; Kim, John Dongjun, The ACM CHI Conference on Human Factors in Computing Systems, pp.540:1 - 540:12, ACM Special Interest Group on Computer-Human Interaction (SIGCHI), 2018-04-23 |
| Behavior based Interactive Artificial Life in a Virtual Environment Yang, Hyun-Seung; Park, HJ; Cho, Y, International Workshop on Advanced Image Technology, 2000, pp.0 - 0, 2000 |
| Behavior Modeling of Haptic Brush for Virtual Painting Kim, S; Park, Jinah, 2009 International Conference on Mechatronics and Information Technology, 2009-12-03 |
| Behavior realization of multi-robots responding to user's input characters Jo, Y.; Lee, K.; Jo, Sungho; Shin, Insik, Journal of Institute of Control, Robotics and Systems, v.18, no.5, pp.419 - 425, 2012-05 |
| Behavior-based mobility prediction for seamless handoffs in mobile wireless networks Wanalertlak, Weetit; Lee, Ben; Yu, Chansu; Kim, Myungchul; Park, Seung-Min; Kim, Won-Tae, WIRELESS NETWORKS, v.17, no.3, pp.645 - 658, 2011-04 |
| Behavior-centric collision avoidance for realistic crowd simulation = 사실적인 군중시뮬레이션을 위한 행동중심 충돌회피link Park, Jin-Hyoung; 박진형; et al, 한국과학기술원, 2013 |
| Behavior-Evaluation of the Shape-Retaining Chain Linked Model Park, Jinah; Kim, SY; Kwon, DS, 7th Korea-Germany Joint Workshop on Advanced Medical Image Processing, 2003, pp.0 - 0, 2003-10 |
| Behavioral composition for compatible software module evolution = 안정적 소프트웨어 모듈 진화를 위한 객체 행위 합성link Lee, Sun-Ae; 이선애; et al, 한국과학기술원, 2004 |
| Behavioral dependency measurement for change-proneness prediction in UML 2.0 design models Han, Ah-Rim; Jeon, Sang-Uk; Bae, Doo-Hwan; Hong, Jang-Eui, 32nd Annual IEEE International Computer Software and Applications Conference, COMPSAC 2008, pp.76 - 83, IEEE, 2008-07-28 |
| Behavioral dependency measurement in UML 2.0 sequence diagrams for change-proneness prediction = 변경 경향성 예측을 위한 UML 2.0 시퀀스 다이어그램에서의 행위 의존도 측정link Han, Ah-Rim; 한아림; et al, 한국과학기술원, 2007 |
| Behavioral performance of multi-robots driven by human drawing Jo, Youngrae; Jo, Sungho, International Conference on Control, Automation and Systems, ICCAS 2010, pp.1769 - 1772, ICCAS, 2010-10-27 |
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