Songfeng Zheng

According to our database, Songfeng Zheng authored at least 32 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Speeding up <i>L</i> ₂ -loss support vector regression by random Fourier features.

Songfeng Zheng

Commun. Stat. Simul. Comput., February, 2024

2021

KLERC: kernel Lagrangian expectile regression calculator.

Songfeng Zheng

Comput. Stat., 2021

Iteratively reweighted least square for asymmetric L2-Loss support vector regression.

Songfeng Zheng

Commun. Stat. Simul. Comput., 2021

2019

A fast iterative algorithm for support vector data description.

Songfeng Zheng

Int. J. Mach. Learn. Cybern., 2019

2016

Smoothly approximated support vector domain description.

Songfeng Zheng

Pattern Recognit., 2016

Object-Based Arctic Sea Ice Ridge Detection From High-Spatial-Resolution Imagery.

Xin Miao, Hongjie Xie, Stephen F. Ackley, Songfeng Zheng

IEEE Geosci. Remote. Sens. Lett., 2016

2015

A fast algorithm for training support vector regression via smoothed primal function minimization.

Songfeng Zheng

Int. J. Mach. Learn. Cybern., 2015

2014

A generalized Newton algorithm for quantile regression models.

Songfeng Zheng

Comput. Stat., 2014

2012

Functional gradient ascent for Probit regression.

Songfeng Zheng, Weixiang Liu

Pattern Recognit., 2012

QBoost: Predicting quantiles with boosting for regression and binary classification.

Songfeng Zheng

Expert Syst. Appl., 2012

2011

Gradient descent algorithms for quantile regression with smooth approximation.

Songfeng Zheng

Int. J. Mach. Learn. Cybern., 2011

An experimental comparison of gene selection by Lasso and Dantzig selector for cancer classification.

Songfeng Zheng, Weixiang Liu

Comput. Biol. Medicine, 2011

Labeling Image Patches by Boosting based Median Classifier.

Songfeng Zheng

Proceedings of the British Machine Vision Conference, 2011

2010

Cooperative Sensing via Sequential Detection.

Qiyue Zou, Songfeng Zheng, Ali H. Sayed

IEEE Trans. Signal Process., 2010

Integrating local distribution information with level set for boundary extraction.

Lei He, Songfeng Zheng, Li Wang

J. Vis. Commun. Image Represent., 2010

Detecting object boundaries using low-, mid-, and high-level information.

Songfeng Zheng, Alan L. Yuille, Zhuowen Tu

Comput. Vis. Image Underst., 2010

Boosting Based Conditional Quantile Estimation for Regression and Binary Classification.

Songfeng Zheng

Proceedings of the Advances in Soft Computing, 2010

Median Boost for Cancer Classification with Gene Expression Data.

Songfeng Zheng, Weixiang Liu

Proceedings of the International Conference on Bioinformatics & Computational Biology, 2010

Fitting Probit Regression using Functional Gradient Ascent for Cancer Classification.

Songfeng Zheng, Weixiang Liu

Proceedings of the International Conference on Bioinformatics & Computational Biology, 2010

Selecting informative genes by Lasso and Dantzig selector for linear classifiers.

Songfeng Zheng, Weixiang Liu

Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

Sparse nonnegative matrix factorization with the elastic net.

Weixiang Liu, Songfeng Zheng, Sen Jia, LinLin Shen, Xianghua Fu

Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

2009

A level set model without initial contour.

Lei He, William G. Wee, Songfeng Zheng, Li Wang

Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2009), 2009

Compositional noisy-logical learning.

Alan L. Yuille, Songfeng Zheng

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Probabilistic Cascade Random Fields for Man-Made Structure Detection.

Songfeng Zheng

Proceedings of the Computer Vision, 2009

2008

Shape matching and registration by data-driven EM.

Zhuowen Tu, Songfeng Zheng, Alan L. Yuille

Comput. Vis. Image Underst., 2008

Learning based coarse-to-fine image registration.

Jiayan Jiang, Songfeng Zheng, Arthur W. Toga, Zhuowen Tu

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

Automated Extraction of the Cortical Sulci Based on a Supervised Learning Approach.

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

IEEE Trans. Medical Imaging, 2007

2006

Learning Sparse Mixture Models for Discriminative Classification.

Weixiang Liu, Nanning Zheng, Songfeng Zheng

Int. J. Pattern Recognit. Artif. Intell., 2006

A Learning Based Algorithm for Automatic Extraction of the Cortical Sulci.

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

2003

Linear sparse feature based face detection in gray images.

Xiaofeng Lu, Nanning Zheng, Songfeng Zheng

Proceedings of the 2003 International Conference on Image Processing, 2003

Unsupervised clustering based reduced support vector machines.

Songfeng Zheng, Xiaofeng Lu, Nanning Zheng, Weipu Xu

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Learning features from examples for face detection.

Xiaofeng Lu, Songfeng Zheng, Nanning Zheng, Weixiang Liu

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003