Meizhu Liu
TitleCited byYear
Shape retrieval using hierarchical total Bregman soft clustering
M Liu, BC Vemuri, S Amari, F Nielsen
IEEE transactions on pattern analysis and machine intelligence 34 (12), 2407 …, 2012
1032012
Total Bregman divergence and its applications to DTI analysis
BC Vemuri, M Liu, SI Amari, F Nielsen
IEEE Transactions on medical imaging 30 (2), 475-483, 2010
952010
Learning a mahalanobis distance-based dynamic time warping measure for multivariate time series classification
J Mei, M Liu, YF Wang, H Gao
IEEE transactions on Cybernetics 46 (6), 1363-1374, 2015
692015
Total Bregman divergence and its applications to shape retrieval
M Liu, BC Vemuri, SI Amari, F Nielsen
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
602010
AdaBoost on low-rank PSD matrices for metric learning
J Bi, D Wu, L Lu, M Liu, Y Tao, M Wolf
CVPR 2011, 2617-2624, 2011
392011
Sparse classification for computer aided diagnosis using learned dictionaries
M Liu, L Lu, X Ye, S Yu, M Salganicoff
International Conference on Medical Image Computing and Computer-Assisted …, 2011
382011
Matching of regions of interest across multiple views
M Liu, L Lu, VC Raykar, M Salganicoff, M Wolf
US Patent 8,885,898, 2014
292014
A robust and efficient doubly regularized metric learning approach
M Liu, BC Vemuri
European Conference on Computer Vision, 646-659, 2012
292012
Logdet divergence-based metric learning with triplet constraints and its applications
J Mei, M Liu, HR Karimi, H Gao
IEEE Transactions on Image Processing 23 (11), 4920-4931, 2014
252014
Semantic context forests for learning-based knee cartilage segmentation in 3D MR images
Q Wang, D Wu, L Lu, M Liu, KL Boyer, SK Zhou
International MICCAI Workshop on Medical Computer Vision, 105-115, 2013
242013
Nationality classification using name embeddings
J Ye, S Han, Y Hu, B Coskun, M Liu, H Qin, S Skiena
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
202017
A robust variational approach for simultaneous smoothing and estimation of DTI
M Liu, BC Vemuri, R Deriche
NeuroImage 67, 33-41, 2013
202013
Coarse-to-fine classification via parametric and nonparametric models for computer-aided diagnosis
L Lu, M Liu, X Ye, S Yu, H Huang
Proceedings of the 20th ACM international conference on Information and …, 2011
182011
Logdet divergence based metric learning using triplet labels
J Mei, M Liu, HR Karimi, H Gao
Proceedings of the Workshop on Divergences and Divergence Learning (ICML’13), 2013
142013
Robust large scale prone-supine polyp matching using local features: a metric learning approach
M Liu, L Lu, J Bi, V Raykar, M Wolf, M Salganicoff
International Conference on Medical Image Computing and Computer-Assisted …, 2011
142011
Unsupervised automatic white matter fiber clustering using a Gaussian mixture model
M Liu, BC Vemuri, R Deriche
2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 522-525, 2012
132012
Automatic spatial context based multi-object segmentation in 3D images
Q Wang, D Wu, M Liu, L Lu, KS Zhou
US Patent 9,218,524, 2015
122015
Method and system for bone segmentation and landmark detection for joint replacement surgery
M Sofka, M Liu, D Wu, SK Zhou
US Patent 9,646,229, 2017
92017
Robust and efficient regularized boosting using total bregman divergence
M Liu, BC Vemuri
CVPR 2011, 2897-2902, 2011
92011
Total Bregman divergence, a robust divergence measure, and its applications
M Liu
University of Florida, 2011
92011
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