Songfeng Zheng - researchr alias

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Viewing Publication 1 - 33 from 33

2024

2 -loss support vector regression by random Fourier featuresSongfeng Zheng. cssc, 53(2):933-951, February 2024. [doi]

2021

KLERC: kernel Lagrangian expectile regression calculatorSongfeng Zheng. cstat, 36(1):283-311, 2021. [doi]

Iteratively reweighted least square for asymmetric L2-Loss support vector regressionSongfeng Zheng. cssc, 50(7):2151-2167, 2021. [doi]

2019

A fast iterative algorithm for support vector data descriptionSongfeng Zheng. mlc, 10(5):1173-1187, 2019. [doi]

2016

Object-Based Arctic Sea Ice Ridge Detection From High-Spatial-Resolution ImageryXin Miao, Hongjie Xie, Stephen F. Ackley, Songfeng Zheng. lgrs, 13(6):787-791, 2016. [doi]

Smoothly approximated support vector domain descriptionSongfeng Zheng. PR, 49:55-64, 2016. [doi]

2015

A fast algorithm for training support vector regression via smoothed primal function minimizationSongfeng Zheng. mlc, 6(1):155-166, 2015. [doi]

2014

A generalized Newton algorithm for quantile regression modelsSongfeng Zheng. cstat, 29(6):1403-1426, 2014. [doi]

2012

QBoost: Predicting quantiles with boosting for regression and binary classificationSongfeng Zheng. eswa, 39(2):1687-1697, 2012. [doi]

Functional gradient ascent for Probit regressionSongfeng Zheng, Weixiang Liu. PR, 45(12):4428-4437, 2012. [doi]

2011

Gradient descent algorithms for quantile regression with smooth approximationSongfeng Zheng. mlc, 2(3):191-207, 2011. [doi]

Labeling Image Patches by Boosting based Median ClassifierSongfeng Zheng. bmvc 2011: 1-11 [doi]

An experimental comparison of gene selection by Lasso and Dantzig selector for cancer classificationSongfeng Zheng, Weixiang Liu. cbm, 41(11):1033-1040, 2011. [doi]

2010

Integrating local distribution information with level set for boundary extractionLei He, Songfeng Zheng, Li Wang. jvcir, 21(4):343-354, 2010. [doi]

Sparse nonnegative matrix factorization with the elastic netWeixiang Liu, Songfeng Zheng, Sen Jia, LinLin Shen, Xianghua Fu. bibm 2010: 265-268 [doi]

Boosting Based Conditional Quantile Estimation for Regression and Binary ClassificationSongfeng Zheng. micai 2010: 67-79 [doi]

Fitting Probit Regression using Functional Gradient Ascent for Cancer ClassificationSongfeng Zheng, Weixiang Liu. biocomp 2010: 81-86

Median Boost for Cancer Classification with Gene Expression DataSongfeng Zheng, Weixiang Liu. biocomp 2010: 146-151

Selecting informative genes by Lasso and Dantzig selector for linear classifiersSongfeng Zheng, Weixiang Liu. bibm 2010: 677-680 [doi]

Detecting object boundaries using low-, mid-, and high-level informationSongfeng Zheng, Alan L. Yuille, Zhuowen Tu. cviu, 114(10):1055-1067, 2010. [doi]

Cooperative Sensing via Sequential DetectionQiyue Zou, Songfeng Zheng, Ali H. Sayed. tsp, 58(12):6266-6283, 2010. [doi]

2009

A level set model without initial contourLei He, William G. Wee, Songfeng Zheng, Li Wang. wacv 2009: 1-6 [doi]

Compositional noisy-logical learningAlan L. Yuille, Songfeng Zheng. icml 2009: 152 [doi]

Probabilistic Cascade Random Fields for Man-Made Structure DetectionSongfeng Zheng. ACCV 2010: 596-607 [doi]

2008

Learning based coarse-to-fine image registrationJiayan Jiang, Songfeng Zheng, Arthur W. Toga, Zhuowen Tu. cvpr 2008: [doi]

Shape matching and registration by data-driven EMZhuowen Tu, Songfeng Zheng, Alan L. Yuille. cviu, 109(3):290-304, 2008. [doi]

2007

Automated Extraction of the Cortical Sulci Based on a Supervised Learning ApproachZhuowen 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. tmi, 26(4):541-552, 2007. [doi]

Detecting Object Boundaries Using Low-, Mid-, and High-level InformationSongfeng Zheng, Zhuowen Tu, Alan L. Yuille. cvpr 2007: [doi]

2006

Learning Sparse Mixture Models for Discriminative ClassificationWeixiang Liu, Nanning Zheng, Songfeng Zheng. ijprai, 20(3):431-440, 2006. [doi]

A Learning Based Algorithm for Automatic Extraction of the Cortical SulciSongfeng 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. miccai 2006: 695-703 [doi]

2003

Learning features from examples for face detectionXiaofeng Lu, Songfeng Zheng, Nanning Zheng, Weixiang Liu. icassp 2003: 829-832 [doi]

Linear sparse feature based face detection in gray imagesXiaofeng Lu, Nanning Zheng, Songfeng Zheng. icip 2003: 889-892

Unsupervised clustering based reduced support vector machinesSongfeng Zheng, Xiaofeng Lu, Nanning Zheng, Weipu Xu. icassp 2003: 821-824 [doi]

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