Jihun Hamm
Jihun Hamm
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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
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
Semisupervised alignment of manifolds.
J Hamm, DD Lee, LK Saul
AISTATS, 120-127, 2005
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
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
Learning Privately from Multiparty Data
J Hamm, P Cao, M Belkin
Proceedings of The 33rd International Conference on Machine Learning (ICML …, 2016
Learning high dimensional correspondences from low dimensional manifolds
JH Ham, DD Lee, LK Saul
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, 601-608, 2008
Minimax Filter: Learning to Preserve Privacy from Inference Attacks
J Hamm
Journal of Machine Learning Research 18, 1-31, 2017
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
Automatic annotation of daily activity from smartphone-based multisensory streams
J Hamm, B Stone, M Belkin, S Dennis
International Conference on Mobile Computing, Applications, and Services …, 2012
Subspace-based learning with Grassmann kernels
J Hamm
University of Pennsylvania, 2008
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
Learning nonlinear appearance manifolds for robot localization
J Ham, Y Lin, DD Lee
2005 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2005
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
Regional manifold learning for deformable registration of brain MR images
DH Ye, J Hamm, D Kwon, C Davatzikos, KM Pohl
International Conference on Medical Image Computing and Computer-Assisted …, 2012
Preserving Privacy of Continuous High-dimensional Data with Minimax Filters
J Hamm
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2015
Regional manifold learning for disease classification
D Ye, B Desjardins, J Hamm, H Litt, K Pohl
IEEE Transactions on Medical Imaging, 2014
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