Abstract
Based on the modelling discussions of Chapter 5, the issues of computational and storage complexity for large problems have motivated an interest in sparse representations, and also in those models which allow some sort of decoupling, or domain decomposition, to allow a hierarchical approach. As we shall see, both sparsity and domain decomposition are at the heart of all Markov processes, thus the topic of Markovianity is central to the modelling and processing on large domains.
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© 2011 Springer New York
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Fieguth, P. (2011). Markov Random Fields. In: Statistical Image Processing and Multidimensional Modeling. Information Science and Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-7294-1_6
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DOI: https://doi.org/10.1007/978-1-4419-7294-1_6
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