Context‐based classification via mixture of hidden Markov model experts with applications in landmine detection
In many applications data classification may be hindered by the existence of multiple contexts that produce an input sample. To alleviate the problems associated with multiple contexts, context‐based classification is a process that uses different classifiers depending on a measure of the context. C...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2016-12-01
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| Series: | IET Computer Vision |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/iet-cvi.2016.0138 |