Search Results - "Lai, Shumin"

RMFRASL: Robust Matrix Factorization with Robust Adaptive Structure Learning for Feature Selection by Lai, Shumin, Huang, Longjun, Li, Ping, Luo, Zhenzhen, Wang, Jianzhong, Yi, Yugen

“…In this paper, we present a novel unsupervised feature selection method termed robust matrix factorization with robust adaptive structure learning (RMFRASL),…”
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RRNMF-MAGL: Robust regularization non-negative matrix factorization with multi-constraint adaptive graph learning for dimensionality reduction by Yi, Yugen, Lai, Shumin, Li, Shicheng, Dai, Jiangyan, Wang, Wenle, Wang, Jianzhong

“…In this paper, a new unsupervised dimensionality reduction method named robust regularization non-negative matrix factorization with multi-constraint adaptive…”
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Ultrathin multi-band planar metamaterial absorber based on standing wave resonances by Peng, Xiao-Yu, Wang, Bing, Lai, Shumin, Zhang, Dao Hua, Teng, Jing-Hua

“…We present a planar waveguide model and a mechanism based on standing wave resonances to interpret the unity absorptions of ultrathin planar metamaterial…”
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SDNMF: Semisupervised discriminative nonnegative matrix factorization for feature learning by Yi, Yugen, Lai, Shumin, Wang, Wenle, Li, Shicheng, Zhang, Renbo, Luo, Yong, Zhou, Wei, Wang, Jianzhong

“…As one of the most effective feature learning methods, Nonnegative Matrix Factorization (NMF) has been widely used in many scientific fields, such as computer…”
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Graph Regularized Deep Sparse Representation for Unsupervised Anomaly Detection by Li, Shicheng, Lai, Shumin, Jiang, Yan, Wang, Wenle, Yi, Yugen

“…Anomaly detection (AD) aims to distinguish the data points that are inconsistent with the overall pattern of the data. Recently, unsupervised anomaly detection…”
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