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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.
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2017. gada 7. novembris |
| ISBN13 | 9783031006920 |
| Izdevēji | Springer International Publishing AG |
| Lapas | 156 |
| Izmēri | 150 × 220 × 10 mm · 334 g |
| Valoda | Angļu |