Brain Computing and Machine Intelligence Lab @ KNU

Hyeyoung Park

Professor

School of Computer Science And Engineering, Kyungpook National University

IT4-411-1, 80, Daehak-ro, Buk-gu, Daegu, Republic of Korea

[email protected]

Tel : +82-(0)53-950-7357

Fax : +82-(0)53-950-6369

Careers

Sep. 1997 - Mar. 1999		Trainee at Brain Science Institute, RIKEN, JAPAN
Feb. 2000		Ph.D. at Computer Science Dept. of Yonsei University, Korea
Mar. 2000 - Feb. 2003		Researcher at Research institute of Industrial Technologies, Yonsei University, Korea
Sep. 2000 - Feb. 2004		Research Scientist at Brain Science Institute, RIKEN, JAPAN
Mar. 2004 - Feb. 2008		Assistant Professor at School of EECS, Kyungpook National Univerisity
Mar. 2008 - Feb. 2013		Associate Professor at School of EECS, Kyungpook National University
Mar. 2013 - Present		Professor at School of CSE, Kyungpook National University

Research Interest

Machine Learning

Development and analysis of learning algorithms

Pattern Recognition

Feature extraction and classification of image data

Neural Networks

Development and analysis of artifical neural network models

Brain Science

Computational modeling of visual processing of human brain

Probabilty and Statistics

Statistical estimation and multivariate data analysis

Cognitive Science

Visual perception and cognition

Information Geometry, Image and Signal Processing

Lectures, Presentations, and Tutorials

Neural Networks - Two Introductory Reviews

(CVPR2006 Winter School)

Thesis

H. Park (1996). Adaptive SEJONG-NET for On-line Hangul Recognition, M.S Thesis, Dept. of Computer Science, Yonsei Univ., 1996.2

H. Park (2000). Efficient On-line Learning Algorithms based on Information Geometry for Stochastic Neural Networks, Ph.D Dissertation, Dept. of Computer Science, Yonsei Univ., 2000.2

Publications (Journal)

K. Lee, H. Park, H. Byun and Y. Lee (1995). SEJONG-NET: A Neural Network for On-line/Off-line Hangul Recognition. Korean Journal of Cognitive Science, 6, 4, 73-97, 1995 (in Korean)

H. Park, S. Amari, Y. Lee (1999). An Information Geometrical Approach on Plateau Problems in Multilayer Perceptron Learning, Journal of KISS(B) : Software and Applications, 26, 4, 546-556, 1999. (in Korean)

H. Park, K. Lee, Y. Lee and H. Byun (1999). Generalized Sigmoidal Basis Function for Improving the Learning Performance of Multilayer Perceptrons, Journal of KISS (B): Software and Applications, 26, 11, 1261-1269, 1999 (in Korean).

H. Park and K. Lee (2002). A statistical Identification and Verification Method for Biometrics, Lecture Notes in Artificial Intelligence, 2417, 611-611, 2002.08.

H. Park, H. Lee, Y. Lee (2002). Network Optimization through Learning and Pruning in Neuromanifold, Lecture Notes in Artificial Intelligence, 2417, 169-177, 2002.08.

H. Lee, H. Park, Y. Lee (2003). Improvement of Generalization Performance of Neural Networks using Natual Pruning and Bayesian Selection, Journal of KISS (B): Software and Applications, 326-338, 2003.04. (in Korean)

M. Inoue, H. Park, M. Okada (2003). On-line learning theory of soft committee machines with correlated hidden units - Steepest gradient descent and natural gradient descent -, Journal of Physical Society of Japan, 805-810, 2003.04.

S. Amari, T. Ozeki, H. Park (2003). Learning and inference in hierarchical models with singularities, Systems and Computers in Japan, 34-42, 2003.06.

K.Lee, H. Park (2003). A new similarity measure based on intraclass statistics for biometric systems, ETRI Journal, 401-406, 2003.10.

H. Park, M. Inoue, M. Okada (2003). On-line Learning Dynamics of Multilayer Perceptrons with Unidentifiable Parameters, Journal of Physics A: Mathematical and General, 11753-11764, 2003.11.

H. Park, N. Murata, S. Amari (2004). Improving Generalization Performance of Natural Gradient Learning Using Optimized Regularization by NIC, Neural Computation, 355-382, 2004.02.

M. Inoue, H. Park, M. Okada (2004), Dynamics of the Adaptive Natural Gradient Descent Method for Soft Committee Machines, Physical Review E, 69(5-2), 056120-1-056120-14, 2004

H. Park, M. Inoue, M. Okada (2004), Learning Dynamics of Neural Networks with Singularity Standard Gradient vs. Natural Gradient, Lecture Notes in Artificial Intelligence, 3157, 282-291, 2004.

H. Park (2005). Geometry of Gradient Learning, Mathematical Science (Japanese), 2005(03), 10-15, 2005.

H. Park, M. Inoue, M. Okada (2005). Slow Dynamics Due to Singularities of Hierarchical Learning Machines, Progress of Theoretical Physics Supplement, 157, 275-279, 2005.

H. Park (2005). Multilayer Perceptron and Natural Gradient Learning, New Generations Computing, 24(1), 79-95, 2005.

M. Cho, and H. Park (2005). A Robust SVM Design for Multi-Class Classification, Lecture Note in Artificial Intelligence, 3809, 1335-1338, 2005.

S. Amari, H. Park, T. Ozeki (2006). Singularities Affect Dynamics of Learning in Neuromanifold, Neural Computation, 18, 1007-1065, 2006.

H. Park, M. Cho (2006). Classification of Bio-data with Small Data Set Using Additive Factor Models and SVM, Lecture Notes in AI, 4304, 770-779, 2006.

M. Cho, H. Park (2007). Bio-Data Classification Using Modified Factor Analysis Model, Journal of KISS (B): Software and Applications, 34(7), 667-690, 2007(in Korean).

M. Cho, D. Yoon, H. Park (2008). A Subspace Method Based on Data Generation Model with Class Information, Lecture Notes in Artificial Itelligence, 4984, 547-555, 2008. 04.

H. Park, T. Ozeki (2009). Singularity and Slow Dynamics of EM algorithm, Neural Processing Letters, 29(1), 45-59, 2009.02

M. Cho, H. Park (2009). A Feature Analysis for Dimension Reduction Based on a Data Generation Model with Class Factors and Environment Factors, Computer Vision and Image Understanding, 113, 1005-1016, 2009

M. Cho, H. Park (2009). A Robust Keypoints Matching Strategy for SIFT: An Application to Face Recognition ,Lecture Notes in Computer Science, 2009, Volume 5863/2009, 716-723,

H. Choi, H. Park (2011). Selection of k in Manifold Learning based on k-Nearest Neighbor Graph, Journal of KISS: Software and Applications, Vol. 38, No. 9, pp.497-502, 2011.09 (in Korean).

K. Lee, H. Park (2012). Modular PCA and Probabilistic Similarity Measure for Robust Face Recognition, International Journal of Multimedia and Ubiquitous Engineering, Vol. 7, No. 2, 2012.04

K. Lee, H. Park (2012). Probabilistic learning of similarity measures for tensor PCA, Pattern Recognition Letters, Vol. 33, pp.1364–1372, 2012

D. Kim, K. Lee, H.Park(2013). Weighted Pooling of Image Code with Saliency Map for Object Recognition, Lecture Notes in Electrical Engineering, Vol. 240, pp.157-162, 2013.5

H. Park, K. Lee (2013). Robust Manifold Learning Method Against Noise Using Class and Variation Information, The Journal of Korean Institute of Next Generation Computing, pp.38-48, 2013.10. (in Korean)

H. Choi, H. Park (2015). A Multimodal User Authentication System Using Faces and Gestures, BioMed Research International, Vol.2015, Article ID 343475, 8 pages

M. Sohn, H. Park (2016). Enhanced hand part classification from a single depth image using random decision forests, IET Computer Vision, Vol 10, Issue 8, December 2016, p. 861 – 867

Hyun, C., Seo, J., Lee, K. E., & Park, H. (2019). Multi-attribute recognition of facial images considering exclusive and correlated relationship among attributes. Applied Sciences, 9(10), 2034.

Seo, J., & Park, H. (2019). Object recognition in very low resolution images using deep collaborative learning. IEEE Access, 7, 134071-134082.

Park H, Lee K. Adaptive Natural Gradient Method for Learning of Stochastic Neural Networks in Mini-Batch Mode. Applied Sciences. 2019; 9(21):4568. https://doi.org/10.3390/app9214568

Lee Y, Park H. Effect of Probabilistic Similarity Measure on Metric-Based Few-Shot Classification, Youngjae Lee, Hyeyoung Park, Applied Sciences, 2021;11(22), 10977; https://doi.org/10.3390/app112210977.

Hyun, C., Hur, C., Park, H. An Image Selection Framework for Automatic Report Generation. Multimedia Tools and Applications, 2022.

양희성, & 박혜영. (2022). 자기 지도 학습 모델을 사용한 중복 이미지 탐지. 한국차세대컴퓨팅학회 논문지, 18(3), 75-84.

이동훈, 허찬, 박혜영, & 박상효. (2022). 텍스트-비디오 검색 모델에서의 캡션을 활용한 비디오 특성 대체 방안 연구. 대한임베디드공학회논문지, 17(6), 347-353.

Hur, C., & Park, H. (2023). Zero-Shot Image Classification with Rectified Embedding Vectors Using a Caption Generator. Applied Sciences, 13(12), 7071.

Hur, C., & Park, H. (2024). EENet: embedding enhancement network for compositional image-text retrieval using generated text. Multimedia Tools and Applications, 83(16), 49689-49705.

허찬, 이동훈, 박혜영, & 박상효. (2024). 생성 기반 캡션 정보가 결합된 비디오 특징을 이용한 텍스트-비디오 검색 성능 향상. 정보과학회 컴퓨팅의 실제 논문지, 30(2), 84-90.

Yang, H., Lee, S., & Park, H. (2024). Direct Feedback Learning with Local Alignment Support. IEEE Access.

Publications (Conference)

H. Park, Y. Lee (1995). Adaptive SEJONG-NET, Proceedings of the 7th Conference on Hangul and Korean Information Processing, The Korean Society for Cognitive Science, 164-168, 1995 (in Korean)

H. Park, S. Amari (1998). Escaping from Plateaus of Multilayer Perceptron Learning by Natural Gradient, Proceedings of the 2nd R.I.E.C. International Symposium on Design and Architecture of Information Processing Systems Based on the Brain Information Principles, Research Institute of Electrical Communication(RIEC), 189-192, 1998

K. Lee and H. Park (1999). The Generation of Emotions by Various Eliciting Factors for Life-like Interface Agents, Proceedings of the 26th KISS Spring Conference, 26, 1, (B), 307-309, 1999 (in Korean)

O. Lee, H. Park, S. Choi (2000). PCA vs. ICA for Face Recognition, Proceedings of the 2000 International Technical Conference on Circuits/Systems, Computers, and Communications, 2000.7

S. Amari, T. Ozeki and H. Park (2000). Information Geometry of Adaptive Systems, Proceedings of the IEEE 2000 Adaptive Systems for Signal Processing, Communication, and Control Symposium, 2000.10 (Alberta)

G. Kee, K. Lee, H. Park, Y. Lee (2000). A New Approach to Human Iris Recognition based on Statistical Information Theory, International Conference on Neural Information Processing, 2000.11 (Seoul)

H. Park, K. Lee, Y. Lee (2000). Feature Extraction for Pattern Classification Using Class-Based Principal Component Analysis, International Conference on Neural Information Processing, 2000.11 (Seoul)

S. Amari, T. Ozeki, and H. Park (2001). Generalization Error of Bayes Predictive Distribution for the Stochastic Model, Information-Based Induction Sciences workshop, 2001, 7. (Tokyo).

H. Park, M. Inoue, and M. Okada (2002). Natural Gradient is not affected by the correlation of hidden layer units multiplayer Perceptrons, IEICE Technical Report, 102(379), 2003.03.

M. Inoue, H. Park, M. Okada (2003). Evaluation of adaptive natural gradient descent in on-line learning, IEICE Technical Report, 161-166, 2003.03.

H. Park, M. Inoue, M. Okada (2003). On-line learning dynamics of multilayer perceptrons with unidentifiable parameters, IEICE Technical Report, 155-160, 2003.03.

H. Park, M. Inoue, M. Okada (2003). Plateau and quasi-plateau due to singularity in multilayer perceptrons - standard gradient vs. natural gradient -, IEICE Technical Report, 13-18, 2003.07.

M. Cho, H. Park (2009). Nonlinear Dimension Reduction using ISOMap based on Class Information, Iternational Joint Conference on Neural Network, Atlanta, U.S., 2009.06.

D. Kim, H. Park (2010). Face Recognition using SIFT and Subspace Analysis, Proceedings of the KIISE, 37, 1, (C), 390~394, 2010(in Korean)

D. Kim, H. Park (2010). An Efficient Face Recognition through Combining Local Features and Statistical Feature Extraction, PRICAI 2010: Trends in Artificial Intelligence Lecture Notes in Computer Science, 2010, Volume 6230/2010, 456-466

D. Kim, H. Park (2011). Codebook-based object recognition using saliency map, Proceedings of the KIISE, Vol. 38, No. 2(B), 223-226

H. Choi, M. Sohn, H. Park (2011). An Efficient Hand Gesture Recognition Method for Smart TV Control System, ICCCS 2011 (Daegu)

M. Cho, H. Park (2011). Facial Image Analysis Using Subspace Segregation Based on Class Information, ICONIP 2011, Part II, LNCS 7603, pp.350-357

J. Seo, H. Park (2011). A Robust Face Recognition through Statistical Learning of Local Features, ICONIP 2011: Part II, LNCS 7603, pp.335-341

H. Choi, H. Park (2012). An Efficient Framework for Vision-Based Gesture Recognition, CCA(International Conference on Computer and Applications), Seoul, Korea, 2012.03.

K. Lee, H. Park (2012). Robust Face Recognition Using Probabilistic Models of Facial Images, Information Science and Technology, Shanghai, China, 2012.04

H. Choi, M. Sohn, H. Park (2012). User Authentication using Face and Gesture Information for Various Smart Devices, The 38th Conference of the KIPS, Jeju, Korea, 2012.11. (in Korean)

J. Seo, H. Park (2013). Feature Selection Method using Probabilistic Face Model, Convergence/Smart/Cloud Computing conference 2013, Daegu, Korea, 2013.10. (in Korean)

H. Choi, H. Park (2013). Gesture-based User Identification for Personalized Service Environment of Smart Device with RGBD sensor, Convergence/Smart/Cloud Computing conference 2013, Daegu, Korea, 2013.10. (in Korean)

J. Kwak, J. Seo, H.Park (2013). Illust.me: An Application Software for Caricature Creation by Facial Feature Analysis, ICONIP 2013, Daegu, Korea, 2013.11.

H. Choi, H. Park (2013). Gesture-based User Identification for Personalized Service Environment of Smart Device with RGB sensor, ICONIP 2013, Daegu, Korea, 2013.11.

J. Seo, H. Park (2013). Reliable Face Recognition using Feature Selection and Image Rejection based on Probabilistic Face Model, IVCNZ 2013, Wellington, New Zealand, 2013.11.

H. Choi, J. Seo, H. Park (2014). Matrix Correlation Distance for 2D Image Classification, ACM SAC 2014, Gyeongju, Korea, 2014.03.

J. Seo, H. Park (2014). Detection of Faces with Partial Occlusions using Statistical Face Model, Korea Computer Congress 2014, Busan, Korea, 2014.06. (in Korean)

H. Choi, H. Park (2014). A Hierarchical Structure for Learning Similarity Measure of Gesture Data, IEIE Summer Conference 2014, Jeju, Korea, 2014.06. (in Korean)

현창훈, & 박혜영. (2018). 보고서 자동 생성을 위한 컨텐츠 기반 의미적 유사도 분석을 통한 이미지 선택. (KSC 2018) 한국정보과학회 학술발표논문집, 692-694.

Hur, C., Hyun, C., Park, H. (2020, February). Automatic Image Recommendation for Economic Topics using Visual and Semantic Information. In 2020 IEEE 14th International Conference on Semantic Computing (ICSC) (pp. 182-184). IEEE.

Lee Y, Park, H. (2020). Few-shot Pattern Classification using Prototypical Network with Probabilistic Similarity Measure (IW-FCV 2020).

Mun, H., Park, H. (2020). Combination of Super Resolution and Image Recognition Networks for Small Object Recognition (IW-FCV 2020)

이소하, 박혜영. (2020) 랜덤 가중치를 이용한 오류 역전파 학습의 성능 비교 (KSC 2020).

양희성, 허찬, 현창훈, 박혜영. (2021) Deduplication of Retrieved Image Data Using Deep Network Features, (KSC 2021).

Hyun, C., & Park, H. (2019). Image recommendation for automatic report generation using semantic similarity. In 2019 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) (pp. 259-262). IEEE.

Hur, C., Hyun, C., & Park, H. (2020, February). Automatic image recommendation for economic topics using visual and semantic information. In 2020 IEEE 14th International Conference on Semantic Computing (ICSC) (pp. 182-184). IEEE.

이소하, 박혜영 (2021). 랜덤 가중치를 가지는 오류 역전파 학습의 성능 분석. 한국인공지능학술대회

이동훈, 허찬, 박혜영, & 박상효. (2022). 캡션정보를 활용한 비디오-텍스트 검색 모델. 한국 인공지능학술대회.

Yang, H., & Park, H. (2023, February). An Integrated Approach to Near-duplicate Image Detection. In 2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) (pp. 425-428). IEEE.

Lee, S., & Park, H. (2023, February). Effect of Optimization Techniques on Feedback Alignment Learning of Neural Networks. In 2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) (pp. 227-231). IEEE.

송호준, 구윤희, 박세현, 차정원, 이영재, 허찬, & 박혜영. (2023). 탄소저감활동 이미지 분류를 위한 딥러닝 기반 경량화 모델. 한국정보과학회 학술발표논문집, 1880-1882.

허찬, 이동훈, 박상효, & 박혜영. (2023). 텍스트-비디오 검색 문제에서의 캡션을 이용한 공통-임베딩 공간에서의 특징벡터 결합 연구. 한국정보과학회 학술발표논문집, 926-928.

양희성, 이소하, & 박혜영. (2023). 직접 랜덤 피드백 오차와 지역 오차를 이용한 신경망 학습. 한국정보과학회 학술발표논문집, 1069-1071.

이소하, 양희성, & 박혜영. (2023). 직접 피드백 오차를 이용한 병렬 가중치 미러 학습법. 한국정보과학회 학술발표논문집, 1082-1084.

Lee, Y., & Park, H. (2024). Efficient Few-Shot Classification Using Self-Supervised Learning and Class Factor Analysis. In 2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) (pp. 260-264). IEEE.

Lee, S., Yang, H., & Park, H. (2024). Prediction Accuracy and Adversarial Robustness of Error-Based Input Perturbation Learning. In 2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) (pp. 265-269). IEEE.

Patents

Registration : Inventor(D. Yoon, H. Park),“텐서 기반 데이터 생성 모델을 이용한 영상 데이터 분류 방법 및 장치”,Registration Num.(10-0949893), Patentee(Industry-Academic Cooperation Foundation, Kyungpook National University), 2010.03.19

Registration : Inventor(D. Kim, H. Park), “객체 인식 장치 및 객체 인식 방법”, Registration Num.(10-1174048), Patentee(Industry-Academic Cooperation Foundation, Kyungpook National University), 2012.08.08

Application : Inventor(H. Choi, H. Park), “제스처 인식 장치 및 그 방법”, Application Num.(10-2012-0138081), Patentee(Industry-Academic Cooperation Foundation of Kyungpook National University, Daegu Gyeongbuk Institute of Science & Technology), 2012.11.30

Application : Inventor(J. Seo, H. Park), “얼굴 인식 장치 및 얼굴 인식 방법”, Application Num.(10-2012-0142295), Patentee(Industry-Academic Cooperation Foundation of Kyungpook National University), 2012.12.07

Application : Inventor(H. Choi, H. Park), “인증 장치 및 그 인증 방법”, Application Num.(10-2013-0022198), Patentee(Industry-Academic Cooperation Foundation of Kyungpook National University, Daegu Gyeongbuk Institute of Science & Technology), 2013.02.28

Registration : Inventor(D. Kim, H. Park), “코드북을 이용한 객체 인식 장치, 객체 인식 방법 및 기록 매체”, Registration Num.(10-1244934), Patentee(Industry-Academic Cooperation Foundation, Kyungpook National University), 2013.03.12

Registration : Inventor(H. Choi, H. Park), “손 제스처 인식 장치 및 그 방법”, Registration Num.(10-1299031), Patentee(Industry-Academic Cooperation Foundation, Kyungpook National University; Daegu Gyeongbuk Institute of Science and Technology), 2013.08.16

Registration : Inventor(J. Seo, H. Park), “지역적 특징의 통계적 학습을 통한 강건한 얼굴인식방법”, Registration Num.(10-1326691), Patentee(Industry-Academic Cooperation Foundation, Kyungpook National University), 2013.11.01

Application : Inventor(J. Seo, H.Park), “얼굴 인식 방법 및 얼굴 인식 장치”, Application Num. (10-2013-0156639) , Patentee(Industry-Academic Cooperation Foundation, Kyungpook National University), 2013.12.16

Books

H. Park (2002). How to Train Multilayer Perceptrons Efficiently with Large Data Set. In R. A. Sarker, H.A. Abbass, C.S. Newton, Heuristic and optimization for Knowledge Discovery, 186-207, Idea Group Publishing (ISBN:1-930708-26-2).

S. Amari, H. Park, T. Ozeki (2002). Geometrical Singularities in the Neuromanifold of Multilayer Perceptrons.In T.G.Dietterich, S.Becker, Z. Ghahramani, editors, Advances in Neural Information Processing Systems 14, Vol.1, 343-350, MIT press (ISBN: 0-262-04208-8).

H. Park, T. Ozeki, S. Amari (2005). Geometric Approach to Multilayer Perceptrons. In E. B. Corrochano, editors, Handbook of Geometric Computing-Application in Pattern Recognition, Computer Vision, Neuralcomputing, and Robotics, 69-96,Springer (ISBN:978-3-540-20595-1).

N. Murata, H. Park (2009). Model Selection and Information Criterion. In F. Emmert-Streib, M. Dehmer, editors, Informtaion Theory and Statistical Learning, 333-354, Springer (ISBN:978-0-387-84815-0).