Jihun Hamm
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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
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
Spectral methods for dimensionality reduction
LK Saul, KQ Weinberger, J Hamm, F Sha, DD Lee
Semisupervised learning, 293-308, 2006
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
Semisupervised alignment of manifolds.
J Hamm, DD Lee, LK Saul
AISTATS, 120-127, 2005
Learning Privately from Multiparty Data
J Hamm, P Cao, M Belkin
Proceedings of The 33rd International Conference on Machine Learning (ICML …, 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
Minimax Filter: Learning to Preserve Privacy from Inference Attacks
J Hamm
Journal of Machine Learning Research 18, 1-31, 2017
Learning high dimensional correspondences from low dimensional manifolds
JH Ham, DD Lee, LK Saul
ICML workshop, 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
Extended Grassmann kernels for subspace-based learning
J Hamm, D Lee
Advances in neural information processing systems 21, 2008
Efficient large deformation registration via geodesics on a learned manifold of images
J Hamm, C Davatzikos, R Verma
International Conference on Medical Image Computing and Computer-Assisted …, 2009
Statistical Privacy for Streaming Traffic
X Zhang, J Hamm, MK Reiter, Y Zhang
Proceedings of the 26th Network and Distributed System Security Symposium …, 2019
Penalty Method for Inversion-Free Deep Bilevel Optimization
A Mehra, J Hamm
Asian Conference on Machine Learning (ACML), 2019
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
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
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
Subspace-based learning with Grassmann kernels
J Hamm
University of Pennsylvania, 2008
Learning nonlinear appearance manifolds for robot localization
J Ham, Y Lin, DD Lee
2005 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2005
How Robust are Randomized Smoothing based Defenses to Data Poisoning?
A Mehra, B Kailkhura, PY Chen, J Hamm
Computer Vision and Pattern Recognition (CVPR), 2021
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