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| Sparse and robust portfolio selection via semi-definite relaxation = 반 확정 완화 기법을 통한 희소-강건 포트폴리오 최적화link Jang, Ju Ri; 장주리; et al, 한국과학기술원, 2016 |
| SPARSE APPROXIMATION USING l(1)-l(2) MINIMIZATION AND ITS APPLICATION TO STOCHASTIC COLLOCATION Yan, Liang; Shin, Yeonjong; Xiu, Dongbin, SIAM JOURNAL ON SCIENTIFIC COMPUTING, v.39, no.1, pp.A229 - A254, 2017 |
| Sparse bump modeling of mildAD patients: Modeling transient oscillations in the EEG of patients with mild Alzheimer's disease Vialatte, FB; Latchoumane, CFV; Hudson, N; Wimalaratna, S; Sole-Casals, J; Jeong, Jaeseung; Cichocki, A, 3rd International Conference on Bio-inspired Systems and Signal Processing, BIOSIGNALS 2010, pp.479 - 484, 2010-01-20 |
| Sparse channel estimation based on compressive sensing kalman filter with limited feedback = 칼만 필터 압축센싱 기반의 피드백을 통한 희소 채널 추정link Mun, GwonHan; Sung, Youngchul; et al, 한국과학기술원, 2015 |
| Sparse data recovery of tomographic diagnostics for ultra-large-area plasmas Park, Sanghoo; Jang, Juhyeok; Choe, Wonho, PLASMA SOURCES SCIENCE & TECHNOLOGY, v.28, no.3, pp.035012, 2019-03 |
| Sparse decomposition deconvolution microscopy for high-speed 3-D imaging of neuronal activity = 신경활동의 고속 3차원 이미징을 위한 희소분해 디컨볼루션 현미경법link Cho, Eun-Seo; Yoon, Young-Gyu; et al, 한국과학기술원, 2021 |
Sparse decomposition light-field microscopy for high speed imaging of neuronal activity Yoon, Young-Gyu; Wang, Zeguan; Pak, Nikita; Park, Demian; Dai, Peilun; Kang, Jeong Seuk; Suk, Ho-Jun; et al, OPTICA, v.7, no.10, pp.1457 - 1468, 2020-10 |
| Sparse Depth Enhanced Direct Thermal-Infrared SLAM Beyond the Visible Spectrum Shin, Youngsik; Kim, Ayoung, IEEE Robotics and Automation Letters, v.4, no.3, pp.2918 - 2925, 2019-07 |
| Sparse Dictionary Learning for Data-Driven fMRI Analysis Ye, Jong Chul; Lee, K, 제22회 영상처리 및 이해에 관한 워크샵, 2010-01-28 |
| Sparse dictionary learning for fMRI activation detection using SPM and MDL criterion Ye, Jong Chul; Lee, K; Tak, S, The 17th Annual Meeting of the Organization for Human Brain Mapping (OHBM), 2011-06-26 |
| Sparse dictionary learning for resting-state fMRI analysis Lee, KJ; Han, PK; Ye, Jong Chul, Wavelets and Sparsity XIV, SPIE, 2011-08 |
| Sparse Estimation of Conditional Graphical Models With Application to Gene Networks Li, Bing; Chun, Hyonho; Zhao, Hongyu, JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, v.107, no.497, pp.152 - 167, 2012-03 |
| Sparse factor model based on trend filtering Kim, Jang Ho; Kim, Woo Chang; Fabozzi, Frank J., ANNALS OF OPERATIONS RESEARCH, v.306, no.1-2, pp.321 - 342, 2021-11 |
| Sparse feature learning for instrument identification: Effects of sampling and pooling methods Han, Yoonchang; Lee, Subin; Nam, Juhan; Lee, Kyogu, JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, v.139, no.5, pp.2290 - 2298, 2016-05 |
| Sparse functional linear discriminant analysis Park, Juhyun; Ahn, Jeongyoun; Jeon, Yongho, BIOMETRIKA, v.109, no.1, pp.209 - 226, 2022-02 |
| Sparse Gaussian Process Regression의 변분적 혼합모델에 관한 연구 박현신; 유창동, 대한전자공학회 하계종합학술대회, 대한전자공학회, 2014-06-26 |
| Sparse generalized eigenvalue problem with application to canonical correlation analysis for integrative analysis of methylation and gene expression data Safo, Sandra E.; Ahn, Jeongyoun; Jeon, Yongho; Jung, Sungkyu, BIOMETRICS, v.74, no.4, pp.1362 - 1371, 2018-12 |
| Sparse geometric graphs with small dilation Aronov, B; de Berg, M; Cheong, Otfried; Gudmundsson, J; Haverkort, H; Vigneron, A, ALGORITHMS AND COMPUTATION BOOK SERIES: LECTURE NOTES IN COMPUTER SCIENCE, v.3827, pp.50 - 59, 2005 |
| Sparse geometric graphs with small dilation Aronov, Boris; de Berg, Mark; Cheong, Otfried; Gudmundsson, Joachim; Haverkort, Herman; Smid, Michiel; Vigneron, Antoine, COMPUTATIONAL GEOMETRY-THEORY AND APPLICATIONS, v.40, no.3, pp.207 - 219, 2008-08 |
| Sparse graphical models via calibrated concave convex procedure with application to fMRI data Son, Sungtaek; Park, Cheolwoo; Jeon, Yongho, JOURNAL OF APPLIED STATISTICS, v.47, no.6, pp.997 - 1016, 2020-04 |
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