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2020 – today
- 2024
[j18]Songfeng Zheng:
Speeding up L 2 -loss support vector regression by random Fourier features. Commun. Stat. Simul. Comput. 53(2): 933-951 (2024)- 2021
- [j17]Songfeng Zheng:
Iteratively reweighted least square for asymmetric L2-Loss support vector regression. Commun. Stat. Simul. Comput. 50(7): 2151-2167 (2021) - [j16]Songfeng Zheng
:
KLERC: kernel Lagrangian expectile regression calculator. Comput. Stat. 36(1): 283-311 (2021)
2010 – 2019
- 2019
- [j15]Songfeng Zheng:
A fast iterative algorithm for support vector data description. Int. J. Mach. Learn. Cybern. 10(5): 1173-1187 (2019) - 2016
- [j14]Xin Miao, Hongjie Xie, Stephen F. Ackley, Songfeng Zheng:
Object-Based Arctic Sea Ice Ridge Detection From High-Spatial-Resolution Imagery. IEEE Geosci. Remote. Sens. Lett. 13(6): 787-791 (2016) - [j13]Songfeng Zheng:
Smoothly approximated support vector domain description. Pattern Recognit. 49: 55-64 (2016) - 2015
- [j12]Songfeng Zheng:
A fast algorithm for training support vector regression via smoothed primal function minimization. Int. J. Mach. Learn. Cybern. 6(1): 155-166 (2015) - 2014
- [j11]Songfeng Zheng:
A generalized Newton algorithm for quantile regression models. Comput. Stat. 29(6): 1403-1426 (2014) - 2012
- [j10]Songfeng Zheng:
QBoost: Predicting quantiles with boosting for regression and binary classification. Expert Syst. Appl. 39(2): 1687-1697 (2012) - [j9]Songfeng Zheng, Weixiang Liu:
Functional gradient ascent for Probit regression. Pattern Recognit. 45(12): 4428-4437 (2012) - 2011
- [j8]Songfeng Zheng, Weixiang Liu:
An experimental comparison of gene selection by Lasso and Dantzig selector for cancer classification. Comput. Biol. Medicine 41(11): 1033-1040 (2011) - [j7]Songfeng Zheng:
Gradient descent algorithms for quantile regression with smooth approximation. Int. J. Mach. Learn. Cybern. 2(3): 191-207 (2011) - [c15]Songfeng Zheng:
Labeling Image Patches by Boosting based Median Classifier. BMVC 2011: 1-11 - 2010
- [j6]Songfeng Zheng, Alan L. Yuille, Zhuowen Tu:
Detecting object boundaries using low-, mid-, and high-level information. Comput. Vis. Image Underst. 114(10): 1055-1067 (2010) - [j5]Lei He, Songfeng Zheng, Li Wang:
Integrating local distribution information with level set for boundary extraction. J. Vis. Commun. Image Represent. 21(4): 343-354 (2010) - [j4]Qiyue Zou, Songfeng Zheng, Ali H. Sayed:
Cooperative Sensing via Sequential Detection. IEEE Trans. Signal Process. 58(12): 6266-6283 (2010) - [c14]Weixiang Liu, Songfeng Zheng, Sen Jia, LinLin Shen, Xianghua Fu:
Sparse nonnegative matrix factorization with the elastic net. BIBM 2010: 265-268 - [c13]Songfeng Zheng, Weixiang Liu:
Selecting informative genes by Lasso and Dantzig selector for linear classifiers. BIBM 2010: 677-680 - [c12]Songfeng Zheng, Weixiang Liu:
Fitting Probit Regression using Functional Gradient Ascent for Cancer Classification. BIOCOMP 2010: 81-86 - [c11]Songfeng Zheng, Weixiang Liu:
Median Boost for Cancer Classification with Gene Expression Data. BIOCOMP 2010: 146-151 - [c10]Songfeng Zheng:
Boosting Based Conditional Quantile Estimation for Regression and Binary Classification. MICAI (2) 2010: 67-79
2000 – 2009
- 2009
- [c9]Songfeng Zheng:
Probabilistic Cascade Random Fields for Man-Made Structure Detection. ACCV (2) 2009: 596-607 - [c8]Alan L. Yuille, Songfeng Zheng:
Compositional noisy-logical learning. ICML 2009: 1209-1216 - [c7]Lei He, William G. Wee, Songfeng Zheng, Li Wang:
A level set model without initial contour. WACV 2009: 1-6 - 2008
- [j3]Zhuowen Tu, Songfeng Zheng, Alan L. Yuille:
Shape matching and registration by data-driven EM. Comput. Vis. Image Underst. 109(3): 290-304 (2008) - [c6]Jiayan Jiang, Songfeng Zheng, Arthur W. Toga, Zhuowen Tu:
Learning based coarse-to-fine image registration. CVPR 2008 - 2007
- [j2]Zhuowen Tu, Songfeng Zheng, Alan L. Yuille, Allan L. Reiss, Rebecca A. Dutton, Agatha D. Lee, Albert M. Galaburda, Ivo D. Dinov, Paul M. Thompson, Arthur W. Toga:
Automated Extraction of the Cortical Sulci Based on a Supervised Learning Approach. IEEE Trans. Medical Imaging 26(4): 541-552 (2007) - [c5]Songfeng Zheng, Zhuowen Tu, Alan L. Yuille:
Detecting Object Boundaries Using Low-, Mid-, and High-level Information. CVPR 2007 - 2006
- [j1]Weixiang Liu, Nanning Zheng, Songfeng Zheng:
Learning Sparse Mixture Models for Discriminative Classification. Int. J. Pattern Recognit. Artif. Intell. 20(3): 431-440 (2006) - [c4]Songfeng Zheng, Zhuowen Tu, Alan L. Yuille, Allan L. Reiss, Rebecca A. Dutton, Agatha D. Lee, Albert M. Galaburda, Paul M. Thompson, Ivo D. Dinov, Arthur W. Toga:
A Learning Based Algorithm for Automatic Extraction of the Cortical Sulci. MICCAI (1) 2006: 695-703 - 2003
- [c3]Songfeng Zheng, Xiaofeng Lu, Nanning Zheng, Weipu Xu:
Unsupervised clustering based reduced support vector machines. ICASSP (2) 2003: 821-824 - [c2]Xiaofeng Lu, Songfeng Zheng, Nanning Zheng, Weixiang Liu:
Learning features from examples for face detection. ICASSP (2) 2003: 829-832 - [c1]Xiaofeng Lu, Nanning Zheng, Songfeng Zheng:
Linear sparse feature based face detection in gray images. ICIP (3) 2003: 889-892
Coauthor Index
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