Showing results 10241 to 10260 of 16122
SuM: Efficient shadow stack protection on ARM Cortex-M Choi, Wonwoo; Seo, Minjae; Lee, Seongman; Kang, Brent Byunghoon, COMPUTERS & SECURITY, v.136, 2024-01 |
Summarizing and Understanding Large Graphs Danai Koutra; Kang, U; Jilles Vreeken; Christos Faloutsos, STATISTICAL ANALYSIS AND DATA MINING, v.8, no.3, pp.183 - 202, 2015-06 |
Super Ray based Updates for Occupancy Maps Kwon, Yong Sun; Kim, Donghyuk; Yoon, Sung Eui, IEEE International Conference on Robotics and Automations, IEEE Robotics and Automation Society, 2016-05-16 |
Super Rays and Culling Region for Real-Time Updates on Grid-Based Occupancy Maps Kwon, Youngsun; Kim, Donghyuk; An, Inkyu; Yoon, Sung-Eui, IEEE TRANSACTIONS ON ROBOTICS, v.35, no.2, pp.482 - 497, 2019-04 |
Superquadric을 이용한 3차원 물체의 표현 황삼청; 양현승, 한국정보과학회 춘계 학술발표회, v.17, no.1, pp.157 - 160, 한국정보과학회, 1990-05 |
Superquadric을 이용한 3차원 물체의 표현과 인식 황삼청; 양현승, 정보과학회논문지, v.17, no.4, pp.582 - 591, 1990-09 |
Superquadric을 이용한 3차원 물체의 표현과 인식 = 3D object representation and recognition using superquadricslink 황삼청; Hwang, Sam-Chung; et al, 한국과학기술원, 1990 |
Supervised Fitting of Geometric Primitives to 3D Point Clouds Li, Lingxiao; Sung, Minhyuk; Dubrovina, Anastasia; Yi, Li; Guibas, Leonidas, 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019, pp.2647 - 2655, IEEE COMPUTER SOC, 2019-06 |
Supervised Hierarchical Bayesian Model-Based Electomyographic Control and Analysis Han, Hyonyoung; Jo, Sungho, IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, v.18, no.4, pp.1214 - 1224, 2014-07 |
Supplementary loss concealment technique for image transmission through data hiding Kim, Kyung-Su; Lee, Hae-Yeoun; Lee, Heung-Kyu, MULTIMEDIA TOOLS AND APPLICATIONS, v.44, pp.1 - 16, 2009-08 |
Support of Multicasting Service in Broadband Subscriber Access Node Doh, Y; Kim, Daeyoung, IEEE International Conference on Communication Systems, pp.0 - 0, 1996-11 |
Support vector based classification for bio-data mining = 바이오 데이터 마이닝을 위한 서포트 벡터 기반 분류link Lee, Ki-Young; 이기영; et al, 한국과학기술원, 2006 |
Support Vector Machine을 이용한 문장독립형 화자식별 장길진; 오영환, 한국정보과학회 충청지부, pp.45 - 48, 한국정보과학회 충청지부, 1999 |
Supporting an iterative conversation design process Choi, Yoonseo; Shin, Hyungyu; Monserrat, Toni-Jan Keith; Lee, Nyoungwoo; Park, Jeongeon; Kim, Juho, 2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020, Association for Computing Machinery, 2020-04-27 |
Supporting Collaborative Sequencing of Small Groups through Visual Awareness Kim, Tae Soo; Goyal, Nitesh; Kim, Jeongyeon; Kim, Juho; Hong, Sungsoo Ray, Proceedings of the ACM on Human-Computer Interaction, v.5, no.CSCW1, pp.1 - 29, 2021-04 |
Supporting Dynamic Construction of Datasets with Annotator Suggestions Park, Jeongeon; Ko, Eunyoung; Han, Donghoon; Yim, Jinyeong; Kim, Juho, The 9th AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2021, AAAI, 2021-11-17 |
Supporting Dynamic Translation Granularity for Hybrid Memory Systems Kim, Bokyeong; Hwang, Soojin; Cha, Sanghoon; Park, Chang Hyun; PARK, JONGSE; Huh, Jaehyuk, The 40th IEEE International Conference on Computer Design, ICCD 2022, pp.25 - 32, IEEE, 2022-10-24 |
Supporting instruction of formulaic sequences using videos at scale Jo, Kyung Je; Yun, Hyeonggeun; Kim, Juho, 6th ACM Conference on Learning at Scale, L@S 2019, pp.1 - 4, Association for Computing Machinery, Inc, 2019-06-24 |
Supporting mixed initiative human-robot interaction: A script-based cognitive architecture approach Park, H.; Choi, Y.; Jung, Y.; Myaeng, Sung Hyon, 2008 International Joint Conference on Neural Networks, IJCNN 2008, pp.4107 - 4113, IEEE, 2008-06-01 |
Supporting parallelism for Real-Time Multiprocessor Scheduling = 멀티 프로세서 플랫폼에서 실시간 작업의 스케줄링을 위한 동시 실행성 지원link Lee, Jin-Kyu; 이진규; et al, 한국과학기술원, 2011 |
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