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Fingerprint Dive into the research topics where Hyun Woo Kim is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Neuroimaging Engineering & Materials Science
Canonical Correlation Analysis Mathematics
Symmetric Positive Definite Matrix Mathematics
Labels Engineering & Materials Science
Riemannian Manifold Mathematics
Inverse Regression Mathematics
Medical imaging Engineering & Materials Science
Scan Statistic Mathematics

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Research Output 2009 2019

  • 122 Citations
  • 6 h-Index
  • 17 Conference contribution
  • 2 Article
  • 1 Chapter
  • 1 Conference article

Localizing differentially evolving covariance structures via scan statistics

Mehta, R., Kim, H. W., Wang, S., Johnson, S. C., Yuan, M. & Singh, V., 2019 Jan 1, In : Quarterly of Applied Mathematics. 77, 2, p. 357-398 42 p.

Research output: Contribution to journalArticle

Scan Statistic
Covariance Structure
Statistics
Graph Partition
Familywise Error Rate

On Training Deep 3D CNN Models with Dependent Samples in Neuroimaging

Xiong, Y., Kim, H. W., Tangirala, B., Mehta, R., Johnson, S. C. & Singh, V., 2019 Jan 1, Information Processing in Medical Imaging - 26th International Conference, IPMI 2019, Proceedings. Bao, S., Chung, A. C. S., Gee, J. C. & Yushkevich, P. A. (eds.). Springer Verlag, p. 99-111 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11492 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neuroimaging
Neural Network Model
Neural networks
Dependent
Imaging techniques
1 Citation (Scopus)

Efficient relative attribute learning using graph neural networks

Meng, Z., Adluru, N., Kim, H. W., Fung, G. & Singh, V., 2018 Jan 1, Computer Vision – ECCV 2018 - 15th European Conference, 2018, Proceedings. Ferrari, V., Sminchisescu, C., Weiss, Y. & Hebert, M. (eds.). Springer Verlag, p. 575-590 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11218 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Message passing
Attribute
Neural Networks
Neural networks
Graph in graph theory
4 Citations (Scopus)

Tensorize, Factorize and Regularize: Robust Visual Relationship Learning

Hwang, S. J., Kim, H. W., Ravi, S. N., Collins, M. D., Tao, Z. & Singh, V., 2018 Dec 14, Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018. IEEE Computer Society, p. 1014-1023 10 p. 8578210. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Factorization
Linear algebra
Semantics

Cover song identification with metric learning using distance as a feature

Heo, H., Kim, H. W., Kim, W. S. & Lee, K., 2017 Jan 1, Proceedings of the 18th International Society for Music Information Retrieval Conference, ISMIR 2017. Duan, Z., Turnbull, D., Hu, X. & Cunningham, S. J. (eds.). International Society for Music Information Retrieval, p. 628-634 7 p. (Proceedings of the 18th International Society for Music Information Retrieval Conference, ISMIR 2017).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Distance education
Distance Learning
Song