Consistent hidden Markov models
Activity recognition in Computer Vision involves recognizing the appearance of an object of interest along with its action, and its relation to the scene or other important objects. There exist many methods that give this information about an object. However, these methods are noisy and are independent of each other. So, the mutual information between the labels is lost. For example, an object might be predicted to be a tree, whereas its action might be predicted as walk. But, trees can't walk. However, the compositional structure of the events is reflected by the compositional structure of ...
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