Using Evidence Feed-Forward Hidden Markov Models
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Summary
A new type of HMM is introduced, called Evidence Feed Forward Hidden Markov Models, that not only increase the classification rate for sparse messy data, but outlines a whole new theory towards changing the way HMM's are conceived.
- Type
- report
- Published
- 2010-05-11
- Cited by
- 0
- References
- 10
- OpenAlex
- https://openalex.org/W46695433
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:3091605
Keywords
Hidden Markov model, Markov model, Markov chain, Computer science, Artificial intelligence
References
- Recognizing human action in time-sequential images using hidden Markov model
- Activity Based Video Content Trajectory Representation and Segmentation
- Parametric Hidden Markov Models for Gesture Recognition
- Audio-Visual Event Recognition in Surveillance Video Sequences
- Human body pose detection using Bayesian spatio-temporal templates
- A Prototype Fuzzy System for Surveillance Picture Understanding
- A Bayesian computer vision system for modeling human interactions
- Incremental Visual Behaviour Modelling
- Submitted to Ieee Transactions on Pattern Analysis and Machine Intelligence. Special Section on Video Surveillance and Monitoring a Bayesian Computer Vision System for Modeling Human Interactions
- View-Invariant Modeling and Recognition of Human Actions Using Grammars
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