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| Deep Depth from Uncalibrated Small Motion Clip Im, Sunghoon; Ha, Hyowon; Jeon, Hae-Gon; Lin, Stephen; Kweon, In So, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.43, no.4, pp.1225 - 1238, 2021-04 |
| Deep Deterministic Policy Gradient Algorithm for Batch Process Control Yoo, Haeun; Kim, Boeun; Lee, Jay Hyung, Foundations of Process Analytics and Machine Learning, FOPAM, 2019-08-08 |
| Deep Deterministic Policy Gradient 를 이용한 반능동 현가장치 제어 고원식; 장동의, 35회 제어로봇시스템학회 국내학술대회, 제어로봇시스템학회, 2019-05 |
| Deep dual de-noising network for single corrupted infrared image = 손상된 단일 적외선 영상을 위한 심층 이중 디노이징 네트워크link Lee, Jong-Ho; Ro, Yong man; et al, 한국과학기술원, 2021 |
| Deep edge-aware interactive colorization against color bleeding effects = 사용자 인터렉션 기반의 컬러 경계 학습을 통한 color-bleeding 현상 완화 기법link Kim, Eungyeup; Choo, Jaegul; et al, 한국과학기술원, 2021 |
| Deep Edge-Aware Interactive Colorization against Color-Bleeding Effects Kim, Eungyeup; Lee, Sanghyeon; Park, Jeonghoon; Choi, Somi; Seo, Choonghyun; Choo, Jaegul, 18th IEEE/CVF International Conference on Computer Vision (ICCV), pp.14647 - 14656, Computer Vision Foundation, IEEE Computer Society, 2021-10-11 |
| Deep Electric Pole Anomaly Detection and Unsupervised Description Generation Lee, Dongkun; Nam, Jehyun; Choi, Ho-Jin, 2020 IEEE International Conference on Big Data and Smart Computing, BigComp 2020, pp.535 - 537, IEEE,Korean Institute of Information Scientists and Engineers (KIISE), 2020-02-19 |
| Deep embedding kernel mixture networks for conditional anomaly detection in high-dimensional data Kim, Hyojoong; Kim, Heeyoung, INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, v.61, no.4, pp.1101 - 1113, 2023-03 |
| Deep eutectic solvents as attractive media for CO2 capture Trivedi, Tushar J.; Lee, Ji Hoon; Lee, Hyeon Jeong; Jeong, You Kyeong; Choi, Jang Wook, GREEN CHEMISTRY, v.18, no.9, pp.2834 - 2842, 2016 |
| Deep Facial Age Estimation Using Conditional Multitask Learning With Weak Label Expansion Yoo, ByungIn; Kwak, Youngjun; Kim, Youngsung; Choi, Changkyu; Kim, Junmo, IEEE SIGNAL PROCESSING LETTERS, v.25, no.6, pp.808 - 812, 2018-06 |
| Deep facial expression, gender and age recognition based on combined center dispersion loss and incremental cosine annealing = 융합형 중심 분산 손실과 증분 코사인 어닐링을 이용한 딥러닝 기반 얼굴표정,성별 및 나이인식link Nanda, Abhilasha; Choi, Key-Sun; et al, 한국과학기술원, 2021 |
| Deep facial landmark learning by component priors = 얼굴 구성요소 사전정보 기반 딥 러닝을 통한 얼굴 특징점 검출에 관한 연구link Son, Jisoo; 손지수; et al, 한국과학기술원, 2016 |
Deep feature based efficient regularised ensemble for engagement recognition Park, YM; Lee, GM; Yang, Hyun-Seung, ELECTRONICS LETTERS, v.55, no.24, pp.1281 - 1282, 2019-11 |
| Deep feature classification of angiomyolipoma without visible fat and renal cell carcinoma in abdominal contrast-enhanced CT images with texture image patches and hand-crafted feature concatenation Lee, Han Sang; Hong, Helen; Kim, Junmo; Jung, Dae Chul, MEDICAL PHYSICS, v.45, no.4, pp.1550 - 1561, 2018-04 |
| Deep focus light-field camera for handheld 3D intraoral scanning using crosstalk-free solid immersion microlens arrays Kwon, Jae-Myeong; Bae, Sang-In; Kim, Taehan; Kim, Jeong Kun; Jeong, Ki-Hun, APL BIOENGINEERING, v.7, no.3, 2023-09 |
| Deep Full-Body Motion Network (DFM-Net) for a Soft Wearable Motion Sensing Suit Kim, Dooyoung; Kwon, Junghan; Han, Seunghyun; Park, Yong-Lae; Jo, Sungho, IEEE-ASME TRANSACTIONS ON MECHATRONICS, v.24, no.1, pp.56 - 66, 2019-02 |
| Deep Functional Dictionaries: Learning Consistent Semantic Structures on 3D Models from Functions Sung, Minhyuk; Su, Hao; Yu, Ronald; Guibas, Leonidas, 32nd Conference on Neural Information Processing Systems, NeurIPS 2018, pp.485 - 495, NEURAL INFORMATION PROCESSING SYSTEMS, 2018-12 |
| Deep gaussian process models for integrating multifidelity experiments having non-stationary relationships = 심층 가우시안 프로세스를 이용한 비정상성 다중 정밀도 통합모델link Ko, Jongwoo; Kim, Heeyoung; et al, 한국과학기술원, 2020 |
| Deep Gaussian process models for integrating multifidelity experiments with nonstationary relationships Ko, Jongwoo; Kim, Heeyoung, IISE TRANSACTIONS, v.54, no.7, pp.686 - 698, 2022-07 |
| Deep Gaussian Process-Based Bayesian Inference for Contaminant Source Localization Park, Young-Jin; Tagade, Piyush M.; Choi, Han-Lim, IEEE ACCESS, v.6, pp.49432 - 49449, 2018-10 |
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