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Tree-structured Bayesian network learning with application to scene classification

Tree-structured Bayesian network learning with application to scene classification

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© The Institution of Engineering and Technology
Published

A tree-structured Bayesian network is one of the best probabilistic models for scene classification. A simple and successful learning algorithm for a tree-structured Bayesian network classifier is presented without taking arc reversal into account. A systematic performance study on the Lazebnik 15 dataset shows the proposed method is more efficient than the traditional learning scheme.

Inspec keywords: image classification; tree data structures; belief networks; learning (artificial intelligence)

Other keywords: scene classification; tree-structured Bayesian network classifier; learning algorithm; probabilistic models; Lazebnik dataset

Subjects: File organisation; Optical, image and video signal processing; Knowledge engineering techniques; Computer vision and image processing techniques

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