Songfeng Zheng

发表

Applying tree-based ensemble algorithms to the classification of ecological zones using multi-temporal multi-source remote-sensing data

Songfeng Zheng, Hui Liu, Xin Miao, 2012 .

Detecting Object Boundaries Using Low-, Mid-, and High-level Information

Zhuowen Tu, Alan L. Yuille, Songfeng Zheng, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Methods of Evaluating Estimators 1 Mean Square Error (mse) of an Estimator

Songfeng Zheng, 2013 .

Object Boundary Detection and Foreground / Background Segmentation by Integrating Information from Low-level to High-level ∗

A. Yuille, Songfeng Zheng, 2007 .

Lasso based gene selection for linear classifiers

Songfeng Zheng, Weixiang Liu, 2009, 2009 IEEE International Conference on Bioinformatics and Biomedicine Workshop.

Cooperative spectrum sensing via sequential detection for cognitive radio networks

A. Sayed, Q. Zou, Songfeng Zheng, 2009, 2009 IEEE 10th Workshop on Signal Processing Advances in Wireless Communications.

An improved Bennett's inequality

Songfeng Zheng, Songfeng Zheng, 2018 .

Title A Learning Based Algorithm for Automatic Extraction of the Cortical Sulci Permalink

Agatha D. Lee, A. Yuille, Z. Tu, 2006 .

Learning features from examples for face detection

Nanning Zheng, Weixiang Liu, Songfeng Zheng, 2003, ICASSP.

KLERC: kernel Lagrangian expectile regression calculator

Songfeng Zheng, 2020, Computational Statistics.

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

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

A fast iterative algorithm for support vector data description

Songfeng Zheng, 2018, International Journal of Machine Learning and Cybernetics.

KLERC: kernel Lagrangian expectile regression calculator

Songfeng Zheng, Songfeng Zheng, 2020, Comput. Stat..

A support vector approach based on penalty function method

Songfeng Zheng, 2021, Advances in Computational Intelligence.

A fast iterative algorithm for support vector data description

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

Smoothly approximated support vector domain description

Songfeng Zheng, Songfeng Zheng, 2016, Pattern Recognit..

Functional gradient ascent for Probit regression

Weixiang Liu, Songfeng Zheng, Songfeng Zheng, 2012, Pattern Recognit..

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

Weixiang Liu, Songfeng Zheng, Songfeng Zheng, 2011, Comput. Biol. Medicine.

Shape matching and registration by data-driven EM

Zhuowen Tu, Alan L. Yuille, Songfeng Zheng, 2008, Comput. Vis. Image Underst..

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

Paul M. Thompson, Arthur W. Toga, Zhuowen Tu, 2007, IEEE Transactions on Medical Imaging.

Cooperative Sensing via Sequential Detection

Ali H. Sayed, Songfeng Zheng, Qiyue Zou, 2010, IEEE Transactions on Signal Processing.

Gradient descent algorithms for quantile regression with smooth approximation

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

Iteratively reweighted least square for asymmetric L 2-Loss support vector regression

Songfeng Zheng, Songfeng Zheng, 2019, Commun. Stat. Simul. Comput..

Integrating local distribution information with level set for boundary extraction

Li Wang, Songfeng Zheng, Lei He, 2010, J. Vis. Commun. Image Represent..

Probabilistic Cascade Random Fields for Man-Made Structure Detection

Songfeng Zheng, Songfeng Zheng, 2009, ACCV.

A level set model without initial contour

Li Wang, Songfeng Zheng, William G. Wee, 2009, 2009 Workshop on Applications of Computer Vision (WACV).

Sparse nonnegative matrix factorization with the elastic net

LinLin Shen, Sen Jia, Xianghua Fu, 2010, 2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Detecting Object Boundaries Using Low-, Mid-, and High-level Information

A. Yuille, Z. Tu, Songfeng Zheng, 2007, CVPR.

Learning based coarse-to-fine image registration

Arthur W. Toga, Jiayan Jiang, Zhuowen Tu, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Learning Sparse Mixture Models for Discriminative Classification

Nanning Zheng, Weixiang Liu, Songfeng Zheng, 2006, Int. J. Pattern Recognit. Artif. Intell..

QBoost: Predicting quantiles with boosting for regression and binary classification

Songfeng Zheng, Songfeng Zheng, 2012, Expert Syst. Appl..

A Learning Based Algorithm for Automatic Extraction of the Cortical Sulci

Paul M. Thompson, Arthur W. Toga, Zhuowen Tu, 2006, MICCAI.

Boosting Based Conditional Quantile Estimation for Regression and Binary Classification

Songfeng Zheng, Songfeng Zheng, 2010, MICAI.

Fast quantile regression in reproducing kernel Hilbert space

Songfeng Zheng, 2021, Journal of the Korean Statistical Society.

A generalized Newton algorithm for quantile regression models

Songfeng Zheng, Songfeng Zheng, 2014, Comput. Stat..