Browse "School of Computing(전산학부)" by Title
Showing results 3401 to 3420 of 16140
| Control Flow Error Protection by Selective Re-execution and Available Redundancies in the Pipeline Rouf M.A.; Kim, Soontae, International Exposition Yeosu Korea, International Conference on Information Technology (YSEC 2012), 한국정보처리학회, 2012-04-27 |
| Control flow graph상의 USE 집합을 중심으로 하여 live variable analysis를 수행하는 비반복적 알고리즘 = A non-iterative algorithm for live variable analysis based on use set of control flow graphlink 윤정한; Yun, Jeong-Han; et al, 한국과학기술원, 2003 |
| Control integrated query processing system for coordination of multiple UAVs Shim, Sangwoo; Kim, Taehun; Hyun, Soon-Joo, 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017, pp.528 - 533, Institute of Electrical and Electronics Engineers Inc., 2017-01 |
| Controlled composition and abstraction for bottom-up integration and verification of abstract components Choi, Y; Kim, Moonzoo, INFORMATION AND SOFTWARE TECHNOLOGY, v.54, no.1, pp.119 - 136, 2012-01 |
| Controlled Decomposition Strategy for Complex Spatial Objects Lee, YJ; Lee, DM; Ryu, J; Chung, Chin-Wan, 7th Int. Conf. on Database and Expert Systems Applications, pp.207 - 223, Springer Verlag (Germany), 1996-09 |
| Controlled dropout : a dropout method for improving training speed on deep neural network = 제어된 드롭아웃 : 심층 신경망에서 학습 속도 향상을 위한 드롭아웃 방법link Ko, ByungSoo; Choi, Ho-Jin; et al, 한국과학기술원, 2018 |
| Controlled Dropout for Improvement of Speed and Memory Efficiency in Deep Neural Network Byung-Su Ko; Han-Gyu Kim; Oh, Kyo-Joong; Choi, Ho-Jin, The 4th IEEE International Conference on Big Data and Smart Computing (BigComp2017), Korean Institute of Information Scientists and Engineers, 2017-02-15 |
| Controlled dropout: A different approach to using dropout on deep neural network Ko, Byungsoo; Kim, Hangyu; Oh, Kyo-Joong; Choi, Ho-Jin, 2017 IEEE International Conference on Big Data and Smart Computing, BigComp 2017, pp.358 - 362, Institute of Electrical and Electronics Engineers Inc., 2017-02 |
| Controlled Dropout: a Different Dropout for Improving Training Speed on Deep Neural Network Ko, ByungSoo; Kim, Hangyu; Choi, Ho-Jin, IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp.972 - 977, IEEE, 2017-10-06 |
| Controlling inferences by character modeling in story understanding = 스토리 이해에서 인물모델링을 이용한 추론제어link Lee, Joong-Moo; 이중무; et al, 한국과학기술원, 1986 |
| Controlling unwanted alarm sound with smartphones = 스마트폰을 이용한 원하지 않는 알람 소리 제어link Gong, Tae Sik; Lee, Sung Ju; et al, 한국과학기술원, 2017 |
| CONUGA: Constrained user-group assignment Ahn, Gail-Joon; Kim, Kwangjo, JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, v.24, no.2, pp.87 - 100, 2001-04 |
| Conversation model fine-tuning for classifying client utterances in counseling dialogues Park, Sungjoon; Kim, Donghyun; Oh, Alice Haeyun, 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2019, pp.1448 - 1459, Association for Computational Linguistics (ACL), 2019-06 |
| Conversational Decision-Making Model for Predicting the King's Decision in the Annals of the Joseon Dynasty Bak, Jinyeong; Oh, Alice Haeyun, Conference on Empirical Methods in Natural Language Processing (EMNLP), pp.956 - 961, Empirical Methods in Natural Language Processing, 2018-11 |
| Conversational User Interfaces and Interactions Guest Editors' Introduction Landay, James A.; Oliver, Nuria; Song, Junehwa, IEEE PERVASIVE COMPUTING, v.18, no.2, pp.8 - 9, 2019-04 |
| Converting relational database into OWL ontology by multi-way semantics extraction Jang, Sohee; Park, Insuk; Cho, Hoyun; Hyun, SoonJoo, 9th International Conference on Enterprise Information Systems, ICEIS 2007, pp.563 - 568, 2007-06-12 |
| Convex Hull을 이용한 빠른 점 패턴 정합 방법 조성배; 이성환; 김진형, 한국 정보과학회 추계 학술발표회, v.0, no.0, pp.0 - 0, 한국 정보과학회, 1988-10 |
| Convex optimization framework for intermediate deadline assignment in soft and hard real-time distributed systems Lee, Jinkyu; Shin, Insik; Easwaran, Arvind, JOURNAL OF SYSTEMS AND SOFTWARE, v.85, no.10, pp.2331 - 2339, 2012-10 |
| ConVGPU: GPU Management Middleware in Container Based Virtualized Environment Kang, Daeyoun; Jun, Tae Joon; Kim, Dohyeun; Kim, Jaewook; Kim, Daeyoung, 2017 IEEE International Conference on Cluster Computing, CLUSTER 2017, pp.301 - 309, Institute of Electrical and Electronics Engineers Inc., 2017-09 |
| CONVINCE - A CONVERSATIONAL INFERENCE CONSOLIDATION ENGINE Kim, JinHyung; PEARL, J, IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, v.17, no.2, pp.120 - 132, 1987 |
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