| Year |
Citation |
Score |
| 2020 |
Li Y, Aslam MS, Yang K, Kao C, Teng S. Classification of Body Constitution Based on TCM Philosophy and Deep Learning Symmetry. 12: 803. DOI: 10.3390/Sym12050803 |
0.309 |
|
| 2019 |
Li Y, Yeh N, Chen S, Chung Y. Computer-Assisted Diagnosis for Diabetic Retinopathy Based on Fundus Images Using Deep Convolutional Neural Network Mobile Information Systems. 2019: 1-14. DOI: 10.1155/2019/6142839 |
0.376 |
|
| 2019 |
Li Y, Huang P, Juan Y. An Efficient and Robust Iris Segmentation Algorithm Using Deep Learning Mobile Information Systems. 2019: 1-14. DOI: 10.1155/2019/4568929 |
0.34 |
|
| 2018 |
Chang Y, Shih TK, Li Y, Kumara WGCW. Effectiveness evaluation of iris segmentation by using geodesic active contour (GAC) The Journal of Supercomputing. 76: 1628-1641. DOI: 10.1007/S11227-018-2450-2 |
0.384 |
|
| 2017 |
Li Y, Huang P. An Accurate and Efficient User Authentication Mechanism on Smart Glasses Based on Iris Recognition Mobile Information Systems. 2017: 1-14. DOI: 10.1155/2017/1281020 |
0.328 |
|
| 2015 |
Hsieh SH, Li YH, Tien CH, Chang CC. Extending the Capture Volume of an Iris Recognition System Using Wavefront Coding and Super-Resolution. Ieee Transactions On Cybernetics. PMID 26685279 DOI: 10.1109/Tcyb.2015.2504388 |
0.387 |
|
| 2013 |
Li YH, Savvides M. An automatic iris occlusion estimation method based on high-dimensional density estimation. Ieee Transactions On Pattern Analysis and Machine Intelligence. 35: 784-96. PMID 22868651 DOI: 10.1109/Tpami.2012.169 |
0.622 |
|
| 2009 |
Li YH, Savvides M. Fast and robust probabilistic inference of iris mask Proceedings of Spie - the International Society For Optical Engineering. 7306. DOI: 10.1117/12.817889 |
0.596 |
|
| 2009 |
Li YH, Savvides M. A pixel-wise, learning-based approach for occlusion estimation of iris images in polar domain Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 1357-1360. DOI: 10.1109/ICASSP.2009.4959844 |
0.555 |
|
| 2009 |
Li YH, Savvides M. Automatic iris mask refinement for high performance iris recognition 2009 Ieee Workshop On Computational Intelligence in Biometrics: Theory, Algorithms, and Applications, Cib 2009 - Proceedings. 52-58. DOI: 10.1109/Cib.2009.4925686 |
0.605 |
|
| 2009 |
Li YH, Savvides M. Iris Recognition Biometrics: Theory, Methods, and Applications. 315-338. DOI: 10.1002/9780470522356.ch13 |
0.517 |
|
| 2008 |
Li YH, Savvides M, Chen T. Investigating useful and distinguishing features around the eyelash region Proceedings - Applied Imagery Pattern Recognition Workshop. DOI: 10.1109/AIPR.2008.4906451 |
0.536 |
|
| 2007 |
Li YH, Savvides M. Kernel fukunaga-koontz transform subspaces for enhanced face recognition Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. DOI: 10.1109/CVPR.2007.383398 |
0.529 |
|
| 2006 |
Li YH, Savvides M. Faces from sketches: A subspace synthesis approach Proceedings of Spie - the International Society For Optical Engineering. 6202. DOI: 10.1117/12.666452 |
0.571 |
|
| 2006 |
Li YH, Savvides M, Bhagavatula V. Illumination tolerant face recognition using a novel face from sketch synthesis approach and advanced correlation filters Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 2: II357-II360. |
0.585 |
|
| 2006 |
Li YH, Savvides M, Bhagavatula V. Face recognition from sketches using advanced correlation filters using hybrid eigenanalysis for face synthesis Iceis 2006 - 8th International Conference On Enterprise Information Systems, Proceedings. 11-18. |
0.569 |
|
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