An Information geometric framework for the optimization on discrete probability spaces: Application to human trajectory classification
This paper presents an iterative algorithm using a information geometric framework to perform the optimization on a discrete probability spaces. In the proposed methodology, the probabilities are considered as points in a statistical manifold. This differs greatly regarding the traditional approache...
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| Other Authors: | , , |
| Format: | article |
| Language: | eng |
| Published: |
2015
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10174/14145 |
| Country: | Portugal |
| Oai: | oai:dspace.uevora.pt:10174/14145 |