Pyramid Match Kernels: Discriminative Classification with Sets of Image Features (version 2)
Discriminative learning is challenging when examples are sets of features, and the sets vary in cardinality and lack any sort of meaningful ordering. Kernel-based classification methods can learn complex decision boundaries, but a kernel over unordered set inputs must somehow solve for corresponden...
| Main Authors: | , |
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| Other Authors: | |
| Language: | en_US |
| Published: |
2006
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| Online Access: | http://hdl.handle.net/1721.1/31338 |