图 书 馆
用于高维图像表示的简单特征提取A simple feature extraction for high dimensional image representations |
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| 课程网址: | http://videolectures.net/slsfs05_gruber_sfehd/ |
| 主讲教师: | Amit Gruber |
| 开课单位: | 耶路撒冷希伯来大学 |
| 开课时间: | 2007-02-25 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We investigate a method to find local clusters in low dimensional subspaces of high dimensional data, e.g. in high dimensional image descriptions. Using cluster centers instead of the full set of data will speed up the performance of learning algorithms for object recognition, and will possibly also improve performance because overfitting might be avoided. |
| 关 键 词: | 高维数据; 低维子空间; 过度拟合 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-09-21：cwx |
| 阅读次数: | 50 |