图 书 馆
基于完备的Grassmann流形上的尺度梯度Scaled Gradients on Grassmann Manifolds for Matrix Completion |
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| 课程网址: | http://videolectures.net/machine_ngo_matrix_completion/ |
| 主讲教师: | Thanh Ngo |
| 开课单位: | 明尼苏达大学 |
| 开课时间: | 2013-01-14 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | This paper describes gradient methods based on a scaled metric on the Grassmann manifold for low-rank matrix completion. The proposed methods significantly improve canonical gradient methods especially on ill-conditioned matrices, while maintaining established global convegence and exact recovery guarantees. A connection between a form of subspace iteration for matrix completion and the scaled gradient descent procedure is also established. The proposed conjugate gradient method based on the scaled gradient outperforms several existing algorithms for matrix completion and is competitive with recently proposed methods. |
| 关 键 词: | 缩放度量; 低秩矩阵; 子空间迭代 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-10-01：yumf |
| 阅读次数: | 55 |