Songfeng Zheng

发表

Sparse nonnegative matrix factorization with the elastic net

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

Functional gradient ascent for Probit regression

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

Cooperative Sensing via Sequential Detection

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

Shape matching and registration by data-driven EM

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

Selecting informative genes by Lasso and Dantzig selector for linear classifiers

Weixiang Liu, Songfeng Zheng, 2010, 2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Gradient descent algorithms for quantile regression with smooth approximation

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

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

Stephen F. Ackley, Songfeng Zheng, Hongjie Xie, 2016, IEEE Geoscience and Remote Sensing Letters.

Smoothly approximated support vector domain description

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

Boosting Based Conditional Quantile Estimation for Regression and Binary Classification

Songfeng Zheng, Songfeng Zheng, 2010, MICAI.

A fast iterative algorithm for support vector data description

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

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).

Integrating local distribution information with level set for boundary extraction

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

QBoost: Predicting quantiles with boosting for regression and binary classification

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

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.

Median Boost for Cancer Classification with Gene Expression Data

Weixiang Liu, Songfeng Zheng, 2010, BIOCOMP.

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

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

A Learning Based Algorithm for Automatic Extraction of the Cortical Sulci

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

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.

Linear sparse feature based face detection in gray images

Nanning Zheng, Songfeng Zheng, Xiaofeng Lu, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

Compositional noisy-logical learning

Alan L. Yuille, Songfeng Zheng, 2009, ICML '09.

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 .

Labeling Image Patches by Boosting based Median Classifier

Songfeng Zheng, 2011, BMVC.

Learning local and context information with applications to natural/medical image analysis

Alan L. Yuille, Songfeng Zheng, 2008 .

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

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

Learning features from examples for face detection

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

Learning Sparse Mixture Models for Discriminative Classification

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

Fitting Probit Regression using Functional Gradient Ascent for Cancer Classification

Weixiang Liu, Songfeng Zheng, 2010, BIOCOMP.

A generalized Newton algorithm for quantile regression models

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

Learning based coarse-to-fine image registration

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

A majorization-minimization scheme for L 2 support vector regression

Songfeng Zheng, 2021, Journal of Statistical Computation and Simulation.

KLERC: kernel Lagrangian expectile regression calculator

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

A generalized alternating harmonic series

Songfeng Zheng, Shelby Kilmer, 2021, AIMS Mathematics.

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

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

An improved Bennett's inequality

Songfeng Zheng, Songfeng Zheng, 2018 .

Cooperative spectrum sensing via coherence detection

Ali H. Sayed, Songfeng Zheng, Qiyue Zou, 2009, 2009 IEEE/SP 15th Workshop on Statistical Signal Processing.