A ReLU-based Hard-thresholding Algorithm for Non-negative Sparse Signal Recovery
A ReLU-based Hard-thresholding Algorithm for Non-negative Sparse Signal Recovery 报告人:温金明教授(暨南大学)报告时间: 5月11日上午10:00-12:00腾讯会议:441 954 964报告摘要: In numerous applications, such as DNA microarrays, face recognition and spectral unmixing, we need to acquire a non-negative K-sparse signal x from an underdetermined linear model y= Ax+v. To recover such sparse signals...