Songfeng Zheng, Ph.D.
Affiliations: | 2008 | University of California, Los Angeles, Los Angeles, CA |
Area:
Computation & TheoryGoogle:
"Songfeng Zheng"Mean distance: 16.74 (cluster 23) | S | N | B | C | P |
Parents
Sign in to add mentor| Alan Yuille | grad student | 2008 | UCLA | |
| (Learning local and context information with applications to natural/medical image analysis.) | ||||
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Publications
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| Zheng S. (2020) KLERC: kernel Lagrangian expectile regression calculator Computational Statistics. 1-29 |
| Zheng S. (2018) A fast iterative algorithm for support vector data description International Journal of Machine Learning and Cybernetics. 10: 1173-1187 |
| Zheng S. (2016) Smoothly approximated support vector domain description Pattern Recognition. 49: 55-64 |
| Zheng S. (2014) A generalized Newton algorithm for quantile regression models Computational Statistics. 29: 1403-1426 |
| Zheng S. (2013) A fast algorithm for training support vector regression via smoothed primal function minimization International Journal of Machine Learning and Cybernetics. 6: 155-166 |
| Zheng S, Liu W. (2012) Functional gradient ascent for Probit regression Pattern Recognition. 45: 4428-4437 |
| Zheng S. (2012) QBoost: Predicting quantiles with boosting for regression and binary classification Expert Systems With Applications. 39: 1687-1697 |
| Zheng S. (2011) Gradient descent algorithms for quantile regression with smooth approximation International Journal of Machine Learning and Cybernetics. 2: 191-207 |
| He L, Zheng S, Wang L. (2010) Integrating local distribution information with level set for boundary extraction Journal of Visual Communication and Image Representation. 21: 343-354 |
| Zheng S, Yuille A, Tu Z. (2010) Detecting object boundaries using low-, mid-, and high-level information Computer Vision and Image Understanding. 114: 1055-1067 |