Songfeng Zheng

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 6

Top Topics

Regression Model

Kernel Partial Least Squares

Top Venues

Int. J. Mach. Learn. Cybern.

Commun. Stat. Simul. Comput.

Pattern Recognit.

Publications

Songfeng Zheng
-loss support vector regression by random Fourier features. Commun. Stat. Simul. Comput. 53 (2) (2024)
Songfeng Zheng
KLERC: kernel Lagrangian expectile regression calculator. Comput. Stat. 36 (1) (2021)
Songfeng Zheng
Iteratively reweighted least square for asymmetric L2-Loss support vector regression. Commun. Stat. Simul. Comput. 50 (7) (2021)
Songfeng Zheng
A fast iterative algorithm for support vector data description. Int. J. Mach. Learn. Cybern. 10 (5) (2019)
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) (2016)
Songfeng Zheng
Smoothly approximated support vector domain description. Pattern Recognit. 49 (2016)
Songfeng Zheng
A fast algorithm for training support vector regression via smoothed primal function minimization. Int. J. Mach. Learn. Cybern. 6 (1) (2015)
Songfeng Zheng
A generalized Newton algorithm for quantile regression models. Comput. Stat. 29 (6) (2014)
Songfeng Zheng, Weixiang Liu
Functional gradient ascent for Probit regression. Pattern Recognit. 45 (12) (2012)
Songfeng Zheng
QBoost: Predicting quantiles with boosting for regression and binary classification. Expert Syst. Appl. 39 (2) (2012)
Songfeng Zheng, Weixiang Liu
An experimental comparison of gene selection by Lasso and Dantzig selector for cancer classification. Comput. Biol. Medicine 41 (11) (2011)
Songfeng Zheng
Labeling Image Patches by Boosting based Median Classifier. BMVC (2011)
Songfeng Zheng
Gradient descent algorithms for quantile regression with smooth approximation. Int. J. Mach. Learn. Cybern. 2 (3) (2011)
Songfeng Zheng, Weixiang Liu
Fitting Probit Regression using Functional Gradient Ascent for Cancer Classification. BIOCOMP (2010)
Songfeng Zheng, Weixiang Liu
Selecting informative genes by Lasso and Dantzig selector for linear classifiers. BIBM (2010)
Weixiang Liu, Songfeng Zheng, Sen Jia, LinLin Shen, Xianghua Fu
Sparse nonnegative matrix factorization with the elastic net. BIBM (2010)
Songfeng Zheng
Boosting Based Conditional Quantile Estimation for Regression and Binary Classification. MICAI (2) (2010)
Lei He, Songfeng Zheng, Li Wang
Integrating local distribution information with level set for boundary extraction. J. Vis. Commun. Image Represent. 21 (4) (2010)
Qiyue Zou, Songfeng Zheng, Ali H. Sayed
Cooperative Sensing via Sequential Detection. IEEE Trans. Signal Process. 58 (12) (2010)
Songfeng Zheng, Alan L. Yuille, Zhuowen Tu
Detecting object boundaries using low-, mid-, and high-level information. Comput. Vis. Image Underst. 114 (10) (2010)
Songfeng Zheng, Weixiang Liu
Median Boost for Cancer Classification with Gene Expression Data. BIOCOMP (2010)
Songfeng Zheng
Probabilistic Cascade Random Fields for Man-Made Structure Detection. ACCV (2) (2009)
Alan L. Yuille, Songfeng Zheng
Compositional noisy-logical learning. ICML (2009)
Lei He, William G. Wee, Songfeng Zheng, Li Wang
A level set model without initial contour. WACV (2009)
Jiayan Jiang, Songfeng Zheng, Arthur W. Toga, Zhuowen Tu
Learning based coarse-to-fine image registration. CVPR (2008)
Zhuowen Tu, Songfeng Zheng, Alan L. Yuille
Shape matching and registration by data-driven EM. Comput. Vis. Image Underst. 109 (3) (2008)
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) (2007)
Songfeng Zheng, Zhuowen Tu, Alan L. Yuille
Detecting Object Boundaries Using Low-, Mid-, and High-level Information. CVPR (2007)
Weixiang Liu, Nanning Zheng, Songfeng Zheng
Learning Sparse Mixture Models for Discriminative Classification. Int. J. Pattern Recognit. Artif. Intell. 20 (3) (2006)
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)
Xiaofeng Lu, Songfeng Zheng, Nanning Zheng, Weixiang Liu
Learning features from examples for face detection. ICASSP (2) (2003)
Songfeng Zheng, Xiaofeng Lu, Nanning Zheng, Weipu Xu
Unsupervised clustering based reduced support vector machines. ICASSP (2) (2003)
Xiaofeng Lu, Nanning Zheng, Songfeng Zheng
Linear sparse feature based face detection in gray images. ICIP (3) (2003)