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个人信息Personal Information
教授
博士生导师
硕士生导师
主要任职：人力资源处处长（党委教师工作部部长、党委人才办公室主任）【兼党委组织部副部长】
性别：男
毕业院校：上海交通大学
学位：博士
所在单位：生物医学工程学院
学科：生物医学工程. 信号与信息处理. 模式识别与智能系统
电子邮箱：cong@dlut.edu.cn
Group Nonnegative Matrix Factorization with Sparse Regularization in Multi-set Data
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论文类型：会议论文
发表时间：2021-05-12
页面范围：2125-2129
关键字：Alternating direction method of multipliers; coupled; group nonnegative matrix factorization; joint analysis; sparse representation
摘要：Constrained joint analysis of data from multiple sources has received widespread attention for that it allows us to explore potential connections and extract meaningful hidden components. In this paper, we formulate a flexible joint source separation model termed as group nonnegative matrix factorization with sparse regularization (GNMF-SR), which aims to jointly analyze the partially coupled multi-set data. In the GNMF-SR model, common and individual patterns of particular underlying factors can be extracted simultaneously with imposing nonnegative constraint and sparse penalty. Alternating optimization and alternating direction method of multipliers (ADMM) are combined to solve the GNMF-SR model. Using the experiment of simulated fMRI-like data, we demonstrate the ADMM-based GNMF-SR algorithm can achieve the better performance.