Semi-supervised and active training of conditional random fields for activity recognition
Automated human activity recognition has attracted increasing attention in the past decade. However, the application of machine learning and probabilistic methods for activity recognition problems has been studied only in the past couple of years. For the first time, this thesis explores the applica...
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| Format: | Others |
| Language: | en |
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University of British Columbia
2008
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| Online Access: | http://hdl.handle.net/2429/346 |