| Authors |
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| Publication date |
2008
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| Host editors |
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G.J.M. Smit
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D.H.J. Epema
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M.S. Lew
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| Book title |
Proceedings of the 14th Annual Conference of the Advanced School for Computing and Imaging
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| ISBN |
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| Event |
14th Annual Conference of the Advanced School for Computing and Imaging (ASCI 2008), Heijen, the Netherlands
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| Publisher |
Delft: Advanced School for Computing and Imaging (ASCI)
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| Organisations |
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Faculty of Science (FNWI) - Informatics Institute (IVI)
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| Abstract |
Conditional Random Fields are a discriminative probabilistic model which recently gained popularity in applications that require modeling nonindependent observation sequences. In this work, we present the basic advantages of this model over generative models and argue about its suitability in the domain of activity recognition from sensor networks. We present experimental results on a realworld dataset that support this argumentation.
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| Document type |
Conference contribution
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| Published at |
http://www.science.uva.nl/research/isla/pub/kasteren08asci.pdf
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