Embedded bayesian network for pattern recognition

Image analysis – Pattern recognition – Classification

Reexamination Certificate

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C382S159000, C382S118000, C700S047000, C704S256100

Reexamination Certificate

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10269381

ABSTRACT:
A pattern recognition procedure forms a hierarchical statistical model using a hidden Markov model and a coupled hidden Markov model. The hierarchical statistical model supports a pa 20 layer having multiple supernodes and a child layer having multiple nodes associated with each supernode of the parent layer. After training, the hierarchical statistical model uses observation vectors extracted from a data set to find a substantially optimal state sequence segmentation.

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