Year |
Citation |
Score |
2020 |
Zheng S. KLERC: kernel Lagrangian expectile regression calculator Computational Statistics. 1-29. DOI: 10.1007/S00180-020-01003-0 |
0.418 |
|
2018 |
Zheng S. A fast iterative algorithm for support vector data description International Journal of Machine Learning and Cybernetics. 10: 1173-1187. DOI: 10.1007/S13042-018-0796-7 |
0.432 |
|
2016 |
Zheng S. Smoothly approximated support vector domain description Pattern Recognition. 49: 55-64. DOI: 10.1016/J.Patcog.2015.07.003 |
0.398 |
|
2014 |
Zheng S. A generalized Newton algorithm for quantile regression models Computational Statistics. 29: 1403-1426. DOI: 10.1007/S00180-014-0498-X |
0.408 |
|
2013 |
Zheng S. A fast algorithm for training support vector regression via smoothed primal function minimization International Journal of Machine Learning and Cybernetics. 6: 155-166. DOI: 10.1007/S13042-013-0200-6 |
0.407 |
|
2012 |
Zheng S, Liu W. Functional gradient ascent for Probit regression Pattern Recognition. 45: 4428-4437. DOI: 10.1016/J.Patcog.2012.06.006 |
0.429 |
|
2012 |
Zheng S. QBoost: Predicting quantiles with boosting for regression and binary classification Expert Systems With Applications. 39: 1687-1697. DOI: 10.1016/J.Eswa.2011.06.060 |
0.397 |
|
2011 |
Zheng S. Gradient descent algorithms for quantile regression with smooth approximation International Journal of Machine Learning and Cybernetics. 2: 191-207. DOI: 10.1007/S13042-011-0031-2 |
0.416 |
|
2010 |
He L, Zheng S, Wang L. Integrating local distribution information with level set for boundary extraction Journal of Visual Communication and Image Representation. 21: 343-354. DOI: 10.1016/J.Jvcir.2010.02.009 |
0.346 |
|
2010 |
Zheng S, Yuille A, Tu Z. Detecting object boundaries using low-, mid-, and high-level information Computer Vision and Image Understanding. 114: 1055-1067. DOI: 10.1016/J.Cviu.2010.07.004 |
0.485 |
|
2009 |
Yuille A, Zheng S. Compositional noisy-logical learning Proceedings of the 26th International Conference On Machine Learning, Icml 2009. 1209-1216. DOI: 10.1145/1553374.1553528 |
0.425 |
|
2008 |
Tu Z, Zheng S, Yuille A. Shape Matching and Registration by Data-driven EM. Computer Vision and Image Understanding : Cviu. 109: 290-304. PMID 29269996 DOI: 10.1016/J.Cviu.2007.04.004 |
0.553 |
|
2008 |
Tu Z, Zheng S, Yuille A. Shape matching and registration by data-driven EM Computer Vision and Image Understanding. 109: 290-304. DOI: 10.1016/j.cviu.2007.04.004 |
0.423 |
|
2007 |
Tu Z, Zheng S, Yuille AL, Reiss AL, Dutton RA, Lee AD, Galaburda AM, Dinov I, Thompson PM, Toga AW. Automated extraction of the cortical sulci based on a supervised learning approach. Ieee Transactions On Medical Imaging. 26: 541-52. PMID 17427741 DOI: 10.1109/Tmi.2007.892506 |
0.554 |
|
2006 |
Zheng S, Tu Z, Yuille AL, Reiss AL, Dutton RA, Lee AD, Galaburda AM, Thompson PM, Dinov I, Toga AW. A learning based algorithm for automatic extraction of the cortical sulci. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 9: 695-703. PMID 17354951 DOI: 10.1007/11866565_85 |
0.542 |
|
2006 |
LIU W, ZHENG N, ZHENG S. LEARNING SPARSE MIXTURE MODELS FOR DISCRIMINATIVE CLASSIFICATION International Journal of Pattern Recognition and Artificial Intelligence. 20: 431-440. DOI: 10.1142/S0218001406004752 |
0.387 |
|
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