Graduate School

Introduction Faculty Curriculum

Electronic Engineering Program

홈 영문-일반대학원 Department Electronic Engineering Program Faculty

Name	Kim, Minyoung
MAJOR	Computer Vision, Machine Learning
TEL	02-970-9020
E-mail	mikim@seoultech.ac.kr

Biography

Seoul National University, Korea (BS & MS in Computer Science & Engineering)
Rutgers University (PhD in Computer Science)

Research Areas

Computer Vision, Machine Learning

Teaching

Engineering Mathematics 1, 2 (Undergrad)
Mobile Programming (Undergrad)
Image Processing (Undergrad)
Computer Vision (Grad)

Journal Papers

◾ Mixtures of Conditional Random Fields for Improved Structured Output Prediction, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, vol.28 No.5 pp.1233~1240, 2017김민영

◾ Simultaneous Kernel Learning and Label Imputation for Pattern Classification with Partially Labeled Data, International Journal of Fuzzy Logic and Intelligent systems, vol.17 No.1 pp.10~16, 2017김민영

◾ Simultaneous Learning of Sentence Clustering and Class Prediction for Improved Document Classification, International Journal of Fuzzy Logic and Intelligent systems, vol.17 No.1 pp.35~42, 2017김민영

◾ Dual soft assignment clustering algorithm for human action video clustering, COMPUTER VISION AND IMAGE UNDERSTANDING, vol.155 pp.106~112, 2017김민영

◾ Efficient histogram dictionary learning for text/image modeling and classification, DATA MINING AND KNOWLEDGE DISCOVERY, vol.31 No.1 pp.203~232, 2017김민영

◾ Document Summarization via Convex-Concave Programming, International Journal of Fuzzy Logic and Intelligent Systems, vol.16 No.4 pp.293~298, 2016김민영

◾ Sparse conditional copula models for structured output regression, PATTERN RECOGNITION, vol.60 pp.761~769, 2016김민영

◾ Model-induced term-weighting schemes for text classification, APPLIED INTELLIGENCE, vol.45 No.1 pp.30~43, 2016김민영

◾ Robust Algorithms for Combining Multiple Term Weighting Vectors for Document Classification, International Journal of Fuzzy Logic and Intelligent Systems, vol.16 No.2 pp.81~86, 2016김민영

◾ Adaptive Bayesian Object Tracking with Histograms of Dense Local Image Descriptors, International Journal of Fuzzy Logic and Intelligent Systems, vol.16 No.2 pp.104~110, 2016김민영

◾ Sparse inverse covariance learning of conditional Gaussian mixtures for multiple-output regression, APPLIED INTELLIGENCE, vol.44 No.1 pp.17~29, 2016김민영

◾ Cost-Sensitive Estimation of ARMA Models for Financial Asset Return Data, MATHEMATICAL PROBLEMS IN ENGINEERING, 2015김민영

◾ Online Selective-Sample Learning of Hidden Markov Models for Sequence Classification, International Journal of Fuzzy Logic and Intelligent systems, vol.15 No.3 pp.145~152, 2015김민영

◾ Multiple-concept feature generative models for multi-label image classification, COMPUTER VISION AND IMAGE UNDERSTANDING, vol.136 pp.69~78, 2015김민영

◾ Sparse discriminative region selection algorithm for face recognition, APPLIED INTELLIGENCE, vol.42 pp.817~828, 2015김민영

◾ Greedy approaches to semi-supervised subspace learning, PATTERN RECOGNITION, vol.48 pp.1563~1570, 2015김민영

◾ Greedy ensemble learning of structured predictors for sequence tagging, NEUROCOMPUTING, vol.150 pp.449~457, 2015김민영

◾ Discriminative Training of Sequence Taggers via Local Feature Matching, International Journal of Fuzzy Logic and Intelligent systems, vol.14 No.3 pp.209~215, 2014김민영

◾ Greedy Learning of Sparse Eigenfaces for Face Recognition and Tracking, International Journal of Fuzzy Logic and Intelligent systems, vol.14 No.3 pp.162~170, 2014김민영

◾ Efficient Kernel Sparse Coding via First-Order Smooth Optimization, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, vol.25 pp.1447~1459, 2014김민영

◾ Multiple instance learning via Gaussian processes, DATA MINING AND KNOWLEDGE DISCOVERY, vol.28 pp.1078~1106, 2014김민영

◾ Gradient-based cell localization for automated stem cell counting in non-fluorescent images, TISSUE ENGINEERING AND REGENERATIVE MEDICINE, vol.11 pp.149~154, 2014김민영

◾ Robust Video-Based Barcode Recognition via Online Sequential Filtering, International Journal of Fuzzy Logic and Intelligent systems, vol.14 No.1 pp.8~16, 2014김민영

◾ Conditional ordinal random fields for structured ordinal-valued label prediction, DATA MINING AND KNOWLEDGE DISCOVERY, vol.28 pp.378~401, 2014김민영

◾ Probabilistic Sequence Translation-Alignment Model for Time-Series Classification, IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, vol.26 pp.426~437, 2014김민영

◾ Conditional Alignment Random Fields for Multiple Motion Sequence Alignment, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol.35 pp.2803~2809, 2013김민영

◾ Semi-supervised learning of hidden conditional random fields for time-series classification, NEUROCOMPUTING, vol.119 No.SPECIAL SI pp.339~349, 2013김민영

◾ Semi-Supervised Recursive Learning of Discriminative Mixture Models for Time-Series Classification, International Journal of Fuzzy Logic and Intelligent systems, vol.13 No.3 pp.186~199, 2013김민영

◾ Accelerated max-margin multiple kernel learning, APPLIED INTELLIGENCE, vol.38 No.1 pp.45~57, 2013김민영

◾ Time-Series Dimensionality Reduction via Granger Causality, IEEE SIGNAL PROCESSING LETTERS, vol.19 No.10 pp.611~614, 2012김민영

◾ Correlation-based incremental visual tracking, PATTERN RECOGNITION, vol.45 No.3 pp.1050~1060, 2012김민영

◾ Sequence Alignment by Regression Coding, IEEE SIGNAL PROCESSING LETTERS, vol.18 No.12 pp.721~724, 2011김민영

◾ Discriminative semi-supervised learning of dynamical systems for motion estimation, PATTERN RECOGNITION, vol.44 pp.2325~2333, 2011김민영

◾ Sequence classification via large margin hidden Markov models, DATA MINING AND KNOWLEDGE DISCOVERY, vol.23 No.2 pp.322~344, 2011김민영

◾ Central Subspace Dimensionality Reduction Using Covariance Operators, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol.33 No.4 pp.657~670, 2011김민영

◾ Large margin cost-sensitive learning of conditional random fields, PATTERN RECOGNITION, vol.43 No.10 pp.3683~3692, 2010김민영

Conference Papers

◾ Minyoung Kim, Robust on-line portfolio selection via adaptive conditional volatility estimation, International Conference on Computational and Financial Econometrics, University of London, 2017김민영

◾ Minyoung Kim, Discriminative CoxPH Model Estimator for Survival Analysis, NGS 2016 Glasgow, Glasgow, Scotland, 2016김민영

Projects

◾ Clustering with Partial Similarity Information via Gaussian Processes, 산학협력단, 2017.10.~2018.09.김민영

◾ Large-Margin Learning of Cox Proportional Hazard Models for Survival Analysis, 산학협력단, 2017.10.~2018.09.김민영

◾ 동시적 차원감소 및 SVM 학습을 이용한 문서 분류 알고리즘, 산학협력단, 2015.07.~2016.06.김민영

◾ 선택적 온라인 시계열 분류 알고리즘, 산학협력단, 2015.07.~2016.06.김민영

◾ 적응적 히스토그램에 기반한 물체 추적 알고리즘, 산학협력단, 2015.07.~2016.06.김민영

◾ Discriminative Training of Sequence Taggers via Local Feature Matching, 산학협력단, 2014.04.~2015.03.김민영

◾ Greedy Learning of Sparse Eigenfaces for Face Recognition and Tracking, 산학협력단, 2014.04.~2015.03.김민영

◾ 예측 모델의 제약된 반감독 학습법을 이용한 영상 분석, 한국연구재단, 2013.09.~2019.07.김민영

◾ Robust Video-Based Barcode Recognition via Online Sequential Filtering, 산학협력단, 2013.03.~2014.04.김민영

◾ Granger 인간관계에 기반한 시계열 차원 감소법, 산학협력단, 2012.05.~2013.02.김민영

◾ 히든 조건 랜덤 필드의 반감독 학습을 이용한 시계열 분류, 산학협력단, 2012.05.~2014.02.김민영

Awarded

◾ 교내연구우수교수상, 교내연구우수교수상(2013학년도), 산학협력단, 2014김민영