Distributed Probabilistic Learning for Camera Networks with Missing Data

Probabilistic approaches to computer vision typically assume a centralized setting, with the algorithm granted access to all observed data points. However, many problems in wide-area surveillance can benefit from distributed modeling, either because of physical or computational constraints... (read more)

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