Jihun Hamm

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Daniel D. LeeTisch University Professor of ECE, Cornell Tech and Executive Vice President, Samsung ResearchVerified email at alum.mit.edu
Akshay MehraTulane UniversityVerified email at tulane.edu
Mikhail (Misha) BelkinProfessor of Data Science, Halıcıoğlu Data Science Institute, UCSDVerified email at ucsd.edu
Lawrence K SaulSenior Research Scientist, Center for Computational Mathematics, Flatiron InstituteVerified email at flatironinstitute.org
Dong Hye YeAssistant Professor, Georgia State UniversityVerified email at gsu.edu
Ruben GurUniversity of Pennsylvania Verified email at upenn.edu
Pin-Yu ChenPrincipal Research Scientist, IBM Research AI; MIT-IBM Watson AI Lab; RPI-IBM AIRCVerified email at ibm.com
Bhavya KailkhuraResearch Scientist, Lawrence Livermore National LaboratoryVerified email at llnl.gov
Christos DavatzikosDirector, AI2D Center for AI/Data Science for Integrated Diagnostics, Professor Radiology/ESE/DBEIVerified email at pennmedicine.upenn.edu
Sebastian MikaVerified email at sebastianmika.info
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH ZürichVerified email at tuebingen.mpg.de
Kilian M. PohlAssociate Professor, Department of Psychiatry and Behavioral Sciences, Stanford UniversityVerified email at stanford.edu
Simon DennisProfessor, University of MelbourneVerified email at unimelb.edu.au
Adam C. ChampionSenior Lecturer, The Ohio State UniversityVerified email at cse.ohio-state.edu
Yuanqing LinAibeeVerified email at aibee.co
Bohyung HanProfessor, Seoul National UniversityVerified email at snu.ac.kr
Dong XuanProfessor of Computer Science and Engineering, The Ohio-State UniversityVerified email at cse.ohio-state.edu
Amy PinkhamThe University of Texas at DallasVerified email at utdallas.edu
Jack SimSTRADVISIONVerified email at stradvision.com
Dongjin KwonGoogleVerified email at google.com

Jihun Hamm

Tulane University

Verified email at tulane.edu - Homepage

Machine Learning


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Grassmann discriminant analysis: a unifying view on subspace-based learning J Hamm, DD Lee Proceedings of the 25th international conference on Machine learning, 376-383, 2008	709	2008
A kernel view of the dimensionality reduction of manifolds J Ham, DD Lee, S Mika, B Schölkopf Proceedings of the twenty-first international conference on Machine learning, 47, 2004	692	2004
Spectral methods for dimensionality reduction LK Saul, KQ Weinberger, J Hamm, F Sha, DD Lee Semisupervised learning, 293-308, 2006	359	2006
Semisupervised alignment of manifolds. J Hamm, DD Lee, LK Saul AISTATS, 120-127, 2005	327	2005
Automated facial action coding system for dynamic analysis of facial expressions in neuropsychiatric disorders J Hamm, CG Kohler, RC Gur, R Verma Journal of neuroscience methods 200 (2), 237-256, 2011	312	2011
Learning Privately from Multiparty Data J Hamm, P Cao, M Belkin Proceedings of The 33rd International Conference on Machine Learning (ICML …, 2016	169	2016
GRAM: A framework for geodesic registration on anatomical manifolds J Hamm, DH Ye, R Verma, C Davatzikos Medical image analysis 14 (5), 633-642, 2010	131	2010
Minimax Filter: Learning to Preserve Privacy from Inference Attacks J Hamm Journal of Machine Learning Research 18, 1-31, 2017	97	2017
Learning high dimensional correspondences from low dimensional manifolds JH Ham, DD Lee, LK Saul ICML workshop, 2003	85	2003
Crowd-ML: A Privacy-Preserving Learning Framework for a Crowd of Smart Devices J Hamm, A Champion, G Chen, M Belkin, D Xuan IEEE International Conference on Distributed Computing Systems (ICDCS), 11-20, 2015	74	2015
Extended grassmann kernels for subspace-based learning J Hamm, D Lee Advances in neural information processing systems 21, 2008	64	2008
Efficient large deformation registration via geodesics on a learned manifold of images J Hamm, C Davatzikos, R Verma Medical Image Computing and Computer-Assisted Intervention–MICCAI 2009: 12th …, 2009	52	2009
Automatic annotation of daily activity from smartphone-based multisensory streams J Hamm, B Stone, M Belkin, S Dennis Mobile Computing, Applications, and Services: 4th International Conference …, 2013	44	2013
Penalty Method for Inversion-Free Deep Bilevel Optimization A Mehra, J Hamm Asian Conference on Machine Learning (ACML), 2019	39	2019
Statistical Privacy for Streaming Traffic X Zhang, J Hamm, MK Reiter, Y Zhang Proceedings of the 26th Network and Distributed System Security Symposium …, 2019	39	2019
Personalized video summarization with human in the loop B Han, J Hamm, J Sim 2011 IEEE Workshop on Applications of Computer Vision (WACV), 51-57, 2011	39	2011
Learning nonlinear appearance manifolds for robot localization J Ham, Y Lin, DD Lee 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2005	37	2005
Subspace-based learning with Grassmann kernels J Hamm University of Pennsylvania, 2008	36	2008
Privacy versus open science S Dennis, P Garrett, H Yim, J Hamm, AF Osth, V Sreekumar, B Stone Behavior research methods 51, 1839-1848, 2019	34	2019
Learning a manifold-constrained map between image sets: applications to matching and pose estimation J Ham, I Ahn, D Lee 2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006	33	2006

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