Showing results 5181 to 5200 of 16138
Feature tracking from multiple views using the split and merge method = 분리-병합 방법을 사용한 다중 카메라에서 특징 점 추적 알고리즘link Park, Eun-Kwang; 박은광; et al, 한국과학기술원, 2001 |
Feature Unification Language 설계 및 구현에 관한 연구 김길창; 최기선, 한국정보과학회 ' 8 8가을 학술발표, pp.202 - 205, 한국정보과학회 ' 8 8가을 학술발표, 1988-10 |
Feature vector classification based on likelihood ratio for speaker identification = 우도 비 계산 기반 특징 벡터 선택을 통한 화자 식별link Yoon, Sang-Min; 윤상민; et al, 한국과학기술원, 2008 |
Feature Vector Classification based on Likelilhood Ratio Park, JS; Yoon, SM; Oh, Yung-Hwan, Asian Workshop on Speech Science and Technology, pp.IEICE - SP187, 2008 |
Feature Vector Classification based Speech Emotion Recognition for Service Robots Park, JS; Kim, JH; Oh, Yung-Hwan, IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, v.55, pp.1590 - 1596, 2009-08 |
Feature Vector Classification by Threshold for Speaker identification Yoon, S; Park, K; Bae, JH; Oh, Yung-Hwan, IEEE Odyssey 2008, IEEE, 2008-01 |
Feature Vector Transformation using independent component analysis and its application to speaker indentification Jang, GJ; Yun, SJ; Oh, Yung-Hwan, pp.767 - 770, 1999-09 |
Feature-based image watermarking method using scale-invariant keypoints Lee, HY; Lee, CH; Lee, Heung-Kyu; Nam, J, ADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2005, PT 2 BOOK SERIES: LECTURE NOTES IN COMPUTER SCIENCE, v.3768, pp.312 - 324, 2005 |
Feature-based Image Watermarking Method using Scale-Invariant Keypoints Lee, Hae-Yeoun; Lee, Choong-hoon; Lee, Heung-Kyu; Nam, Jeho, Lecture Notes in Computer Science, Vol.3768, pp.312-324, 2005-11 |
Feature-Based Image Watermarking Method Using Scale-Invariant Keypoints Lee, Hae-Yeoun; Lee, Choong-hoon; Lee, Heung-Kyu; Nam, Jeho, Lecture Notes in Computer Science, Vol.3768, pp.312-324, 2005-11 |
Feature-Based Relation Classification Using Quantified Relatedness Information Huang, JX; Choi, Key-Sun; Kim, CH; Kim, YK, ETRI JOURNAL, v.32, no.3, pp.482 - 485, 2010-06 |
Feature-embedding neural processes for missing value prediction = 결측값 예측을 위한 피처-임베딩 뉴럴 프로세스link Kwon, Minsu; Choi, Ho-Jin; et al, 한국과학기술원, 2020 |
Feature-oriented re-engineering of legacy systems into product line assets - a case study Kang, KC; Kim, Moonzoo; Lee, J; Kim, B, SOFTWARE PRODUCT LINES, PROCEEDINGS BOOK SERIES: LECTURE NOTES IN COMPUTER SCIENCE, v.3714, pp.45 - 56, 2005 |
Feature-preserving high-quality regular remeshing = 특징을 보존하는 고품질 정규 리매싱 기법link Kim, Yun-Hyoung; 김윤형; et al, 한국과학기술원, 2007 |
Feature-Sensitive Coverage for Conformance Testing of Programming Language Implementations Park, Jihyeok; Youn, Dongjun; Lee, Kanguk; Ryu, Sukyoung, PROCEEDINGS OF THE ACM ON PROGRAMMING LANGUAGES-PACMPL, v.7, no.PLDI, 2023-06 |
Feature-Sensitive Coverage for Conformance Testing of Programming Language Implementations Park, Jihyeok; Youn, Dongjun; Lee, Kanguk; Ryu, Sukyoung, 44th ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI 2023), pp.493 - 515, Association for Computing Machinery (ACM), 2023-06-21 |
FedDefender: Client-Side Attack-Tolerant Federated Learning Park, Sungwon; Han, Sungwon; Wu, Fangzhao; Kim, Sundong; Zhu, Bin; Xie, Xing; Cha, Meeyoung, KDD '23: The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp.1850 - 1861, ACM, 2023-08-08 |
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation Han, Sungwon; Park, Sungwon; Wu, Fangzhao; Kim, Sundong; Wu, Chuhan; Xie, Xing; Cha, Meeyoung, European Conference on Computer Vision, ECCV 2022, pp.691 - 707, European Computer Vision Association, 2022-10-23 |
Feedforward Neural Network Architectures for Complex Classification Problems Cho, SB; Kim, JinHyung, FUZZY SYSTEMS AND ARTIFICIAL INTELLIGENCE, v.3, no.0, pp.113 - 128, 1993-01 |
Feeling the Vein for Intravenous Injection Preparation Kim, S; Park, Jinah, Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM 2010), VCBM 2010, 2010-07-01 |
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