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Markov Random Fields and Neural Networks with Applications to Early Vision Problems

A. Rangarajan

出版	University of Maryland, Center for Automation Research, Computer Vision Laboratory, 1991
URL	http://books.google.com.hk/books?id=xPgtGwAACAAJ&hl=&source=gbs_api

註釋

Abstract: "The current resurgence of interest in Neural Networks has opened up several basic issues. In this report, we explore the connections between this area and Markov Random Fields. We are specifically concerned with early vision problems which have already benefited from a parallel and distributed computing perspective. We explore the relationships between the two fields at two differenbt [sic] levels of a computational approach. Applications highlighting specific instances where ideas from the two approaches intertwine are discussed."