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	Peters, James F.     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending Date Reviewed     1 - 5 of 6 reviews       Topology of digital images: visual pattern discovery in proximity spaces Peters J., Springer Publishing Company, Incorporated, New York, NY, 2014. 420 pp.  Type: Book (978-3-642538-44-5) There are different approaches to digital topology. One, developed by Rosenfeld and his followers in the late 1960s and 1970s, is concerned with the adjacency of pixels, or the conditions under which one pixel could be said to be &...... Jun 23 2014     Rough fuzzy image analysis: foundations and methodologies Pal S., Peters J., CRC Press, Inc., Boca Raton, FL, 2010. 266 pp.  Type: Book (978-1-439803-29-5) Soft computing, which aims to model the uncertainty, vagueness, and imprecision in real-life problems, is an important field of research in computer science. This computational paradigm has proven that mathematically intractable or non...... Aug 24 2011     Transactions on rough sets X (LNCS 5656) Peters J., Skowron A., Wolski M., Chakraborty M., Wu W. Springer-Verlag, New York, NY, 2009.  Type: Divisible Book In many practical situations, a set is (or several sets are) part of a natural description of the situation. For example, a black-and-white image can be naturally described as a set of all the black pixels. Another example is binary (y...... Nov 11 2010     Transactions on rough sets IX Peters J., Skowron A., Rybiński H. Springer-Verlag, New York, NY, 2008.  Type: Divisible Book Pawlak originally developed rough sets to be used in the same situations as Zadeh’s better-known fuzzy sets [1]. Although they are less popular than fuzzy sets, they do have a devoted following and are proven to be a good too...... Dec 16 2009     Transactions on rough sets V (Lecture Notes in Computer Science 4100) Peters J., Skowron A., Springer-Verlag New York, Inc., Secaucus, NJ, 2006. 507 pp.  Type: Book (9783540393825) In many practical applications, it is necessary to classify a new object into one of the known classes. For this classification, we can use the properties of the object. For example, in biological applications, we want to classify a ne...... May 2 2008     Display 510152550100 per column
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