Robust Adaptive Semi-supervised Classification Method based on Dynamic Graph and Self-paced Learning

Half-Quadratic Minimization for Unsupervised Feature Selection on Incomplete Data

(2020) Heng Tao Shen et al.   IEEE Transactions on Neural Networks and Learning Systems

Semi-supervised adversarial model for benign–malignant lung nodule classification on chest CT

(2019) Yutong Xie et al.   MEDICAL IMAGE ANALYSIS

Spectral clustering via half-quadratic optimization

(2019) Xiaofeng Zhu et al.   WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS

Robust SVM with adaptive graph learning

(2019) Rongyao Hu et al.   WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS

A new self-paced method for multiple instance boosting learning

(2019) Yanshan Xiao et al.   INFORMATION SCIENCES

Robust Graph Learning From Noisy Data

(2019) Zhao Kang et al.   IEEE Transactions on Cybernetics

Structure regularized self-paced learning for robust semi-supervised pattern classification

(2018) Nannan Gu et al.   NEURAL COMPUTING & APPLICATIONS

Semi-supervised multi-graph classification using optimal feature selection and extreme learning machine

(2018) Jun Pang et al.   NEUROCOMPUTING

Unsupervised feature selection by self-paced learning regularization

(2018) Wei Zheng et al.   PATTERN RECOGNITION LETTERS

Adaptive multiple graph regularized semi-supervised extreme learning machine

(2018) Yugen Yi et al.   SOFT COMPUTING

Supervised feature selection by self-paced learning regression

(2018) Jiangzhang Gan et al.   PATTERN RECOGNITION LETTERS

Safe semi-supervised extreme learning machine for EEG signal classification

(2018) Qingshan She et al.   IEEE Access

Auto-weighted multi-view clustering via kernelized graph learning

(2018) Shudong Huang et al.   PATTERN RECOGNITION

A theoretical understanding of self-paced learning

(2017) Deyu Meng et al.   INFORMATION SCIENCES

Discriminative extreme learning machine with supervised sparsity preserving for image classification

(2017) Yong Peng et al.   NEUROCOMPUTING

A semi-supervised online sequential extreme learning machine method

(2016) Xibin Jia et al.   NEUROCOMPUTING

Unsupervised and semi-supervised extreme learning machine with wavelet kernel for high dimensional data

(2016) Nan Zhang et al.   Memetic Computing

Semi-supervised low rank kernel learning algorithm via extreme learning machine

(2016) Mingming Liu et al.   International Journal of Machine Learning and Cybernetics

Manifold regularized extreme learning machine

(2015) Bing Liu et al.   NEURAL COMPUTING & APPLICATIONS

Discriminative graph regularized extreme learning machine and its application to face recognition

(2015) Yong Peng et al.   NEUROCOMPUTING

Semi-Supervised and Unsupervised Extreme Learning Machines

(2014) Gao Huang et al.   IEEE Transactions on Cybernetics

Weighted extreme learning machine for imbalance learning

(2012) Weiwei Zong et al.   NEUROCOMPUTING