Jihun Hamm
Jihun Hamm
Verified email at tulane.edu - Homepage
Title
Cited by
Cited by
Year
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
6202004
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
5642008
Spectral methods for dimensionality reduction
LK Saul, KQ Weinberger, J Hamm, F Sha, DD Lee
Semisupervised learning, 293-308, 2006
3192006
Semisupervised alignment of manifolds.
J Hamm, DD Lee, LK Saul
AISTATS, 120-127, 2005
3062005
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
2112011
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
1272010
Learning Privately from Multiparty Data
J Hamm, P Cao, M Belkin
Proceedings of The 33rd International Conference on Machine Learning (ICML …, 2016
1102016
Learning high dimensional correspondences from low dimensional manifolds
JH Ham, DD Lee, LK Saul
ICML workshop, 2003
772003
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
572015
Extended Grassmann kernels for subspace-based learning
J Hamm, D Lee
Advances in neural information processing systems 21, 601-608, 2008
522008
Minimax Filter: Learning to Preserve Privacy from Inference Attacks
J Hamm
Journal of Machine Learning Research 18, 1-31, 2017
502017
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
482009
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
392012
Subspace-based learning with Grassmann kernels
J Hamm
University of Pennsylvania, 2008
372008
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
332011
Learning nonlinear appearance manifolds for robot localization
J Ham, Y Lin, DD Lee
2005 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2005
322005
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
292006
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
242012
Preserving Privacy of Continuous High-dimensional Data with Minimax Filters
J Hamm
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2015
232015
Regional manifold learning for disease classification
D Ye, B Desjardins, J Hamm, H Litt, K Pohl
IEEE Transactions on Medical Imaging, 2014
232014
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Articles 1–20