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The exploitation of time dependent Markov matrices for automate image analysis is discussed. Markov process theory provides powerful techniques for automated image understanding algorithms. This paper investigates Markov chains defined by the observed data, and the singular value decomposition is utilized to define a continuous time process that encodes the data's intrinsic geometry. Two toy examples...
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