Scene classification via pLSA
Given a set of images of scenes containing multiple object categories (e.g. grass, roads, buildings) our objective is to discover these objects in each image in an unsupervised manner, and to use this object distribution to perform scene classification. We achieve this discovery using probabilistic...
| Huvudupphovsmän: | , , |
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| Materialtyp: | Conference item |
| Språk: | English |
| Publicerad: |
Springer
2006
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