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 | 192 | 2015 |
Novel approaches to improve robustness, accuracy and rapidity of iris recognition systems Y Si, J Mei, H Gao IEEE transactions on industrial informatics 8 (1), 110-117, 2011 | 80 | 2011 |
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 | 52 | 2014 |
Automated Inspection of E-Shaped Magnetic Core Elements Using K-tSL-Center Clustering and Active Shape Models H Gao, C Ding, C Song, J Mei Industrial Informatics, IEEE Transactions on 9 (3), 1782 - 1789, 2013 | 49 | 2013 |
A Curve Evolution Approach for Unsupervised Segmentation of Images With Low Depth of Field J Mei, Y Si, H Gao Image Processing, IEEE Transactions on 22 (10), 4086 - 4095, 2013 | 24 | 2013 |
A robust super-resolution method with improved high-frequency components estimation and aliasing correction capabilities B Maiseli, C Wu, J Mei, Q Liu, H Gao Journal of the Franklin Institute 351 (1), 513-527, 2014 | 19 | 2014 |
LogDet Divergence based Metric Learning using Triplet Labels J Mei, M Liu, HR Karimi, H Gao The 1st Workshop on Divergences and Divergence Learning, ICML 2013, 2013 | 19 | 2013 |
Edge preservation image enlargement and enhancement method based on the adaptive Perona–Malik non‐linear diffusion model B Maiseli, O Elisha, J Mei, H Gao IET Image Processing 8 (12), 753-760, 2014 | 14 | 2014 |
An automatic and cost-effective parasitemia identification framework for low-end microscopy imaging devices B Maiseli, J Mei, H Gao, S Yin 2014 International Conference on Mechatronics and Control (ICMC), 2048-2053, 2014 | 11 | 2014 |
A novel data-driven fault diagnosis algorithm using multivariate dynamic time warping measure J Mei, J Hou, HR Karimi, J Huang Abstract and Applied Analysis 2014, 2014 | 5 | 2014 |
A novel active contour model for unsupervised low-key image segmentation J Mei, Y Si, H Karimi, H Gao Open Engineering 3 (2), 267-275, 2013 | 4 | 2013 |
A fast Logdet divergence based metric learning algorithm for large data sets classification J Mei, J Hou, J Chen, HR Karimi Abstract and Applied Analysis 2014, 2014 | 3 | 2014 |
Iris recognition system based on TMS 320 DM 6446 and TVP 5158 C Wang, C Wang, Y Si, J Mei Journal of Data Acquisition & Processing 27 (6), 658-664, 2012 | 2 | 2012 |
Design and implementation of a low-cost embedded iris recognition system on a dual-core processor platform Y Si, J Mei, HR Karimi, C Wang, H Gao IFAC Proceedings Volumes 45 (4), 278-282, 2012 | 2 | 2012 |
An automatic and cost-effective parasitemia identification framework for low-end microscopy imaging devices H Gao, S Yin, BJ Maiseli, J Mei IEEE, 2015 | | 2015 |
Metric learning method aided data-driven design of fault detection systems G Yan, J Mei, S Yin, HR Karimi Mathematical Problems in Engineering 2014, 2014 | | 2014 |
Surface damage inspection of E-shaped magnetic core elements using K-tSL-center clustering method H Gao, J Mei, C Ding, C Song IECON 2013-39th Annual Conference of the IEEE Industrial Electronics Society …, 2013 | | 2013 |
Unsupervised low-key image segmentation using curve evolution approach J Mei, Y Si, HR Karimi, H Gao 2013 IEEE International Conference on Mechatronics (ICM), 198-202, 2013 | | 2013 |
Research Article A Fast Logdet Divergence Based Metric Learning Algorithm for Large Data Sets Classification J Mei, J Hou, J Chen, HR Karimi | | |