Automatic discovery and optimization of parts for image classification
Part-based representations have been shown to be very useful for image classification. Learning part-based models is often viewed as a two-stage problem. First, a collection of informative parts is discovered, using heuristics that promote part distinctiveness and diversity, and then classifiers are...
| Main Authors: | , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
Computational and Biological Learning Society
2015
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