Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4968934 | Image and Vision Computing | 2017 | 28 Pages |
Abstract
For both shift-invariant and homogeneous kernels the proposed method achieves better approximation at the same dimensionality or comparable approximations at lower dimensionality of the feature map compared with state-of-the-art methods.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
OndÅej Chum,