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ORCIDDaniel D. Lee
- > Home > Persons > Daniel D. Lee
Publications
- 2022
[j23]J. Jon Ryu
, Shouvik Ganguly, Younghan Kim, Yung-Kyun Noh, Daniel D. Lee:
Nearest Neighbor Density Functional Estimation From Inverse Laplace Transform. IEEE Trans. Inf. Theory 68(6): 3511-3551 (2022)- 2018
- [j18]Yung-Kyun Noh, Masashi Sugiyama, Song Liu, Marthinus Christoffel du Plessis, Frank Chongwoo Park, Daniel D. Lee:
Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence. Neural Comput. 30(7) (2018) - [j16]Yung-Kyun Noh, Jihun Hamm, Frank Chongwoo Park, Byoung-Tak Zhang, Daniel D. Lee:
Fluid Dynamic Models for Bhattacharyya-Based Discriminant Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 40(1): 92-105 (2018) - [j15]Yung-Kyun Noh, Byoung-Tak Zhang, Daniel D. Lee:
Generative Local Metric Learning for Nearest Neighbor Classification. IEEE Trans. Pattern Anal. Mach. Intell. 40(1): 106-118 (2018) - [i17]Shouvik Ganguly, Jongha Ryu, Young-Han Kim, Yung-Kyun Noh, Daniel D. Lee:
Nearest neighbor density functional estimation based on inverse Laplace transform. CoRR abs/1805.08342 (2018) - 2017
- [c90]Yung-Kyun Noh, Masashi Sugiyama, Kee-Eung Kim, Frank C. Park, Daniel D. Lee:
Generative Local Metric Learning for Kernel Regression. NIPS 2017: 2452-2462 - 2015
- [j10]Yung-Kyun Noh, Daniel D. Lee, Kyung-Ae Yang, Cheong-Tag Kim, Byoung-Tak Zhang:
Molecular learning with DNA kernel machines. Biosyst. 137: 73-83 (2015) - 2014
- [c68]Yung-Kyun Noh, Masashi Sugiyama, Song Liu, Marthinus Christoffel du Plessis, Frank Chongwoo Park, Daniel D. Lee:
Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence. AISTATS 2014: 669-677 - 2013
- [c62]Yung-Kyun Noh, Frank Chongwoo Park, Daniel D. Lee:
k-Nearest Neighbor Classification Algorithm for Multiple Choice Sequential Sampling. CogSci 2013 - 2012
- [c53]Yung-Kyun Noh, Frank Chongwoo Park, Daniel D. Lee:
Diffusion Decision Making for Adaptive k-Nearest Neighbor Classification. NIPS 2012: 1934-1942 - 2011
- [i1]Yuan Shi, Yung-Kyun Noh, Fei Sha, Daniel D. Lee:
Learning Discriminative Metrics via Generative Models and Kernel Learning. CoRR abs/1109.3940 (2011) - 2010
- [c39]Yung-Kyun Noh, Byoung-Tak Zhang, Daniel D. Lee:
Generative Local Metric Learning for Nearest Neighbor Classification. NIPS 2010: 1822-1830 - [c38]Yung-Kyun Noh, Byoung-Tak Zhang, Daniel D. Lee:
Fluid Dynamics Models for Low Rank Discriminant Analysis. AISTATS 2010: 565-572 - 2008
- [c33]Yung-Kyun Noh, Jihun Ham, Daniel D. Lee:
Regularized discriminant analysis for transformation-invariant object recognition. ICPR 2008: 1-5
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