Complimenting behavior, as a common speech act of human beings, has become an intriguing topic in linguistics and its sub-branches. Compliment responses can be seen as solutions for maintaining a balance between (1) a preference to avoid self-praise and (2) a preference to accept or agree with the compliment (Pomerantz 1978). In the present study, the definition of a compliment draws on the wor...

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This paper presents a novel technique for automated learning from observations. The technique arranges in a row four traditional pattern recognition approaches (numeric, logic, statistical and finally syntactic) within a unifying framework. Each processing step is conceived as a transformation of the input dataset from one state to another. The proposed technique considers measurable observatio...

This paper presents an experimental system capable of recognizing forms and printed characters positioned on cylindrical objects in an industrial application. Forms are classified with structural pattern recognition methods while characters are recognized with a hybrid classifier utilizing both statistical and structural information. Training of form and character classifiers is performed using...

An application of the syntactic method to recognition of electrocardiogram (ECG) and to the measurement of ECG parameters is presented. Solutions to the subproblems of primitive pattern selection, primitive pattern extraction, linguistic representation, and pattern grammar formulation are given. Attribute grammars are used as the model for the pattern grammar because of their descriptive power,...

Function-Described Graphs (FDGs) have been introduced as a representation of an ensemble of Attributed Graphs (AGs) for structural pattern recognition and a distance measure using restrictions between AGs and FDGs has been reported. Nevertheless, in real applications, AGs can be distorted by some external noise, and therefore some constraints have to be relaxed. To gain more flexibility and rob...

A model based structural recognition approach is used for 3D detection and localization of vehicles. It is theoretically founded by syntactic pattern recognition using coordinate grammars and depicted by production nets. The computational effort significantly depends on certain tolerance parameters and the distribution of input data in the attribute domain. A brief theoretical survey of these i...