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Covariances in Computer Vision and Machine Learning - Synthesis Lectures on Computer Vision Ha Quang Minh
Covariances in Computer Vision and Machine Learning - Synthesis Lectures on Computer Vision
Ha Quang Minh
Computationally, we focus on kernel methods on covariance matrices, especially using the Log-Euclidean distance. We then show some of the latest developments in the generalization of the finite-dimensional covariance matrix representation to the {\it infinite-dimensional covariance operator} representation via positive definite kernels.
| メディア | 書籍 Paperback Book (ソフトカバーで背表紙を接着した本) |
| リリース済み | 2017年11月7日 |
| ISBN13 | 9783031006920 |
| 出版社 | Springer International Publishing AG |
| ページ数 | 156 |
| 寸法 | 150 × 220 × 10 mm · 334 g |
| 言語 | 英語 |