Songfeng Zheng

Orcid: 0000-0003-0546-8529

According to our database1, Songfeng Zheng authored at least 32 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Speeding up <i>L</i> <sub>2</sub> -loss support vector regression by random Fourier features.
Commun. Stat. Simul. Comput., February, 2024

2021
KLERC: kernel Lagrangian expectile regression calculator.
Comput. Stat., 2021

Iteratively reweighted least square for asymmetric L2-Loss support vector regression.
Commun. Stat. Simul. Comput., 2021

2019
A fast iterative algorithm for support vector data description.
Int. J. Mach. Learn. Cybern., 2019

2016
Smoothly approximated support vector domain description.
Pattern Recognit., 2016

Object-Based Arctic Sea Ice Ridge Detection From High-Spatial-Resolution Imagery.
IEEE Geosci. Remote. Sens. Lett., 2016

2015
A fast algorithm for training support vector regression via smoothed primal function minimization.
Int. J. Mach. Learn. Cybern., 2015

2014
A generalized Newton algorithm for quantile regression models.
Comput. Stat., 2014

2012
Functional gradient ascent for Probit regression.
Pattern Recognit., 2012

QBoost: Predicting quantiles with boosting for regression and binary classification.
Expert Syst. Appl., 2012

2011
Gradient descent algorithms for quantile regression with smooth approximation.
Int. J. Mach. Learn. Cybern., 2011

An experimental comparison of gene selection by Lasso and Dantzig selector for cancer classification.
Comput. Biol. Medicine, 2011

Labeling Image Patches by Boosting based Median Classifier.
Proceedings of the British Machine Vision Conference, 2011

2010
Cooperative Sensing via Sequential Detection.
IEEE Trans. Signal Process., 2010

Integrating local distribution information with level set for boundary extraction.
J. Vis. Commun. Image Represent., 2010

Detecting object boundaries using low-, mid-, and high-level information.
Comput. Vis. Image Underst., 2010

Boosting Based Conditional Quantile Estimation for Regression and Binary Classification.
Proceedings of the Advances in Soft Computing, 2010

Median Boost for Cancer Classification with Gene Expression Data.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2010

Fitting Probit Regression using Functional Gradient Ascent for Cancer Classification.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2010

Selecting informative genes by Lasso and Dantzig selector for linear classifiers.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

Sparse nonnegative matrix factorization with the elastic net.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

2009
A level set model without initial contour.
Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2009), 2009

Compositional noisy-logical learning.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Probabilistic Cascade Random Fields for Man-Made Structure Detection.
Proceedings of the Computer Vision, 2009

2008
Shape matching and registration by data-driven EM.
Comput. Vis. Image Underst., 2008

Learning based coarse-to-fine image registration.
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.
IEEE Trans. Medical Imaging, 2007

2006
Learning Sparse Mixture Models for Discriminative Classification.
Int. J. Pattern Recognit. Artif. Intell., 2006

A Learning Based Algorithm for Automatic Extraction of the Cortical Sulci.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

2003
Linear sparse feature based face detection in gray images.
Proceedings of the 2003 International Conference on Image Processing, 2003

Unsupervised clustering based reduced support vector machines.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Learning features from examples for face detection.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003


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