Showing results 144241 to 144260 of 279406
Object recognition using a generalized robust invariant feature and Gestalts law of proximity and similarity Kim, Sungho; Yoon, Kuk-Jin; Kweon, In-So, PATTERN RECOGNITION, v.41, pp.726 - 741, 2008-02 |
Object recognition using local shape knowledge = 국부형상정보에 의한 물체인식link Kim, Hong-Chul; 김홍철; et al, 한국과학기술원, 1987 |
Object Recongnition using Local Shape Knowledge Park, Kyu Ho; Kim, H.C.; Cho, B.R.; Kim, M., KIEE, 1986 |
Object relationship network model for image collections = 이미지 집합의 분석을 위한 사물 관계 네트워크 모델link Kim, Dodam; 김도담; et al, 한국과학기술원, 2016 |
Object representation and segmentation methods for industrial applications = 산업 응용을 위한 물체 표현법 및 분할 방법론link 김성흠; 권인소; et al, 한국과학기술원, 2018 |
Object Segmentation Ensuring Consistency across Multi-viewpoint Images Jeong, Seunghwa; Lee, Jungjin; Kim, Bumki; Kim, Young Hui; Noh, Junyong, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.40, no.10, pp.2455 - 2468, 2018-10 |
Object segmentation for vehicle video and dental CBCT by neuromorphic convolutional recurrent neural network Han, Woo-Sup; Han, Il Song, SAI Intelligent Systems Conference, IntelliSys 2016, pp.264 - 284, Springer Verlag, 2016-09 |
Object Segmentation for Z-keying Using Stereo Images WOO, Woontack; Kim, N; Iwadate, Y, Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on, v.2, pp.1249 - 1254, IEEE, 2000-08 |
Object Space: Windows용 객체지향 데이타베이스 시스템 최흥식; 박용호; 강철규; 김윤철; 김종진; 박종목; 김상래; et al, 데이타베이스 연구회 동계 학술대회, pp.132 - 136, 1996-02 |
Object traceability graph: Applying temporal graph traversals for efficient object traceability Byun, Jaewook; Kim, Daeyoung, EXPERT SYSTEMS WITH APPLICATIONS, v.150, 2020-07 |
Object Tracking and Recognition Based on CPCA Seo, Kap-Ho; Lee, Ju-Jang, Automatic Control Conference, APCCM 2006, 2005-11 |
OBJECT TRACKING BASED ON ONLINE PARTIAL INSTANCE LEARNING WITH MULTIPLE LOCAL STRONG CLASSIFIERS Bae, Sung-Ho; Kim, Mun-Churl, Proceedings of the International Conference on Image Processing, v.1, pp.358 - 362, 2014-10 |
Object Tracking based on Online Partial Instance Learning with Multiple Local Strong Classifiers Kim, Mun Churl; Bae, Sung Ho, International Conference on Image Processing, pp.358 - 362, IEEE Signal Processing Society, 2014-10-28 |
Object tracking based on projective modular active shape model = 투영적 모듈화 능동 형태 모델 기반 물체 추적link Won Kim; 김원; et al, 한국과학기술원, 2007 |
Object tracking based on the modular active shape model Kim, W; Lee, Ju-Jang, MECHATRONICS, v.15, no.3, pp.371 - 402, 2005-04 |
Object tracking by using online learning with deep neural network features = 깊은 신경망 특징을 이용한 실시간 학습에 의한 물체 추적알고리즘link Jo, Youngjoo; 조영주; et al, 한국과학기술원, 2016 |
Object tracking mask-based NLUT on GPUs for real-time generation of holographic videos of three-dimensional scenes Kwon, M. -W.; Kim, S. -C.; Yoon, Sung-Eui; Ho, Y. -S.; Kim, E. -S., OPTICS EXPRESS, v.23, no.3, pp.2101 - 2120, 2015-02 |
Object Tracking Using Adaptive Color Snake Model Seo, Kap-Ho; Lee, Ju-Jang, IEEE/ASME International Conference on Advanced Intelligent Mechatronics, pp.1406 - 1410, IEEE/ASME, 2003-07 |
Object tracking using simple recurrent neural network with fast image processing speed = 이미지 처리 속도가 빠른 가벼운 순환 신경망 단위를 이용한 객체 추적link Ham, Gyeong-Do; Kim, Daeshik; et al, 한국과학기술원, 2019 |
Object value processing underlying habitual behavior in the human putamen 김태현; 강준영; 김혜지; 김형; 이수현, 23회 한국뇌신경과학회, 한국뇌신경과학회, 2020-11-16 |
Discover