| 1 | A computationally efficient scheme for feature extraction with kernel discriminant analysis Min, Hwang-Ki; Hou, Yuxi; Park, Sangwoo; Song, Iickho, PATTERN RECOGNITION, v.50, pp.45 - 55, 2016-02 |
| 2 | A decision-boundary-oriented feature selection method and its application to face recognition Park, Jae Hee; Kim, Seong-Dae; Kim, Wook-Joong, PATTERN RECOGNITION LETTERS, v.30, no.13, pp.1166 - 1174, 2009-10 |
| 3 | A fast doubly hybrid density functional method close to chemical accuracy using a local opposite spin ansatz Zhang, IY; Xu, X; Jung, Yousung; Goddard, WA, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, v.108, no.50, pp.19896 - 19900, 2011-12 |
| 4 | A new discriminant NMF algorithm and its application to the extraction of subtle emotional differences in speech Lee, Soo-Young; Song, Hyun-Ah; Amari, Shun-ichi, COGNITIVE NEURODYNAMICS, v.6, no.6, pp.525 - 535, 2012-12 |
| 5 | CFD analysis and experiment on turbulent flow with and without a fuel-assembly spacer grid by FLUENT and LDA = Fluent와 LDA를 이용한 핵연료 봉다발 지지격자가 난류유동에 미치는 영향에 관한 CFD 연구와 실험link Yeom, Geum-Su; 염금수; et al, 한국과학기술원, 2002 |
| 6 | Combination of warping robust elastic graph matching and kernel-based projection discriminant analysis for face recognition Shin, HC; Park, JH; Kim, Seong-Dae, IEEE TRANSACTIONS ON MULTIMEDIA, v.9, pp.1125 - 1136, 2007-10 |
| 7 | Extraction of independent discriminant features for data with asymmetric distribution Dhir, Chandra Shekhar; Lee, Jaehyung; Lee, Soo-Young, KNOWLEDGE AND INFORMATION SYSTEMS, v.30, no.2, pp.359 - 375, 2012-02 |
| 8 | Incremental Linear Discriminant Analysis Using Sufficient Spanning Sets and Its Applications Kim, Tae-Kyun; Stenger, Bjoern; Kittler, Josef; Cipolla, Roberto, INTERNATIONAL JOURNAL OF COMPUTER VISION, v.91, no.2, pp.216 - 232, 2011-01 |
| 9 | Language Model Adaptation Based on Topic Probability of Latent Dirichlet Allocation Jeon, Hyung Bae; Lee, Soo-Young, ETRI JOURNAL, v.38, no.3, pp.487 - 493, 2016-06 |
| 10 | MCMC (markov chain monte carlo) 방법을 적용한 운영리스크 LDA (loss distribution approach) 측정방법에 관한 실증연구 = An empirical study on operational risk measurement using loss distribution approach with MCMC(markov chain monte carlo) methodlink 박준홍; Park, June-Hong; et al, 한국과학기술원, 2007 |
| 11 | 준 지도학습 분류를 위한 균형이 잡힌 가중치 토픽 모델링 방법 = Balanced weighting topic models for semi-supervised classificationlink 이성규; Lee, Seong-Gyu; et al, 한국과학기술원, 2014 |
| 12 | 탄소 클러스터 $C_n(n = 14~24)$ 의 구조와 결합link 박정언; Park, Jeong-Eon; et al, 한국과학기술원, 2004 |
| 13 | 토픽모델링 기반의 국내외 미래 자동차 연구동향 비교 분석: CASE 키워드 중심으로 정호정; 김건욱; 김나경; 장원준; 정원웅; 박대영, 디지털융복합연구, v.20, no.5, pp.463 - 476, 2022-05 |
