计算机科学 ›› 2017, Vol. 44 ›› Issue (Z6): 236-239.doi: 10.11896/j.issn.1002-137X.2017.6A.054
孙少超
SUN Shao-chao
摘要： 聚焦于非凸的低秩逼近模型,提出了一类定义在矩阵奇异值上的非凸函数g,实际上很多著名的非凸函数都满足g函数的条件。将g函数引入带权核范数最小化模型得到更一般的模型,可以很好地解决模型中的权重选择问题。将该模型应用于图像去噪领域,并针对该模型给出收敛的求解算法。仿真实验表明, 相对其他先进的算法所提方法更具优势。
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