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3 Result(s)

within Sheng-Jun Li Remove this filter Artificial Intelligence Remove this filter Image Processing and Computer Vision Remove this filter

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  1. No Access

    Chapter and Conference Paper

    A Two-Stage Sparse Selection Method for Extracting Characteristic Genes

    In this paper, we view gene selection as a feature selection issue, evaluate the response to the abiotic stresses of the genes in a holistic way and propose the Two-Stage Sparse Selection (TSSS) method for gen...

    Ying-Lian Gao, **-**ng Liu, Chun-Hou Zheng… in Intelligent Computing Theories and Methodo… (2015)

  2. No Access

    Chapter and Conference Paper

    A Compressed Sensing Based Feature Extraction Method for Identifying Characteristic Genes

    In current molecular biology, it becomes more and more important to identify characteristic genes closely correlated with a key biological process from gene expression data. In this paper, a novel compressed s...

    Sheng-Jun Li, Junliang Shang, **-**ng Liu… in Intelligent Computing Theories and Applica… (2016)

  3. No Access

    Chapter and Conference Paper

    A Simple Review of Sparse Principal Components Analysis

    Principal Component Analysis (PCA) is a common tool for dimensionality reduction and feature extraction, which has been applied in many fields, such as biology, medicine, machine learning and bioinformatics. B...

    Chun-Mei Feng, Ying-Lian Gao, **-**ng Liu… in Intelligent Computing Theories and Applica… (2016)