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V. Valev, & Petia Radeva. (1994). Structural Pattern Recognition by Non-Reducible Descriptors. In Proc. International Workshop on Syntactic and Structural Pattern Recognition..
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V. Valev, & Petia Radeva. (1995). ECG Recognition by Non-Reducible Descriptors. In Portuguese Conference on Pattern Recognition..
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V. Valev, & Petia Radeva. (1995). Constructing Quantitative Non-Reducible Descriptors. In 9th Scandinavian Conference on Artificial Intelligence (Vol. 2, pp. 981–988).
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V. Valev, & Petia Radeva. (1993). On the Determining of Non-Reducible Descriptors for Multidimensional Pattern Recognition Problems. In Pattern Recognition and image Analysis (Vol. 3, pp. 258–265).
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V. Valev, & Petia Radeva. (1992). Determining structural descriptions by boolean formulas advances in structural and syntactic Pattern Recognition. In Proceeding of the International Workshop on Structural and Syntactic Pattern Recognition. Ed. Bunke, World Scientific Pub..
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V. Valev, & Petia Radeva. (1992). A Method of Solving Pattern or image Recognition Problems by Learning Boolean Formulas. In Proc. of 11th IAPR International Conference on Pattern Recognition (Vol. II, pp. 359–362). IEEE Computer Society Press.
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V. Valev, & Petia Radeva. (1992). Determining Structural Description by Boolean Formulas. In H. Bunke (Ed.), Advances in Structural and Syntactic Pattern Recognition (Vol. 5, 131–140). Machine Perception and Artificial Intelligence:. World Scientific.
Abstract: Pattern recognition is an active area of research with many applications, some of which have reached commercial maturity. Structural and syntactic methods are very powerful. They are based on symbolic data structures together with matching, parsing, and reasoning procedures that are able to infer interpretations of complex input patterns.
This book gives an overview of the latest developments and achievements in the field.
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