[1] K. S. Fu, Sequential Methods in Pattern Recognition and Machine Learning. (Mathematics in Science and Engineering Series, vol. 52) New York: Academic, 1968, second printing 1970 (Russian translation, 1971, Nauka, Moscow, third printing 1978). [2] K. S. Fu, Syntactic Methods in Pattern Recognition. New York: Academic, 1974, second printing 1976 (Russian translation, Mir Press, Moscow, 1976)....

The syntactic complexity of a tree language is defined according to the number of the distinct syntactic classes of all trees with a fixed yield length. This leads to a syntactic classification of tree languages and it turns out that the class of recognizable tree languages is properly contained in that of languages with bounded complexity. A refined syntactic complexity notion is also presente...

In presenting some aspects of our somewhat unusual grammar to a gathering of qomputational linguists, I feel justified in taking two things for granted: first, that most people who have taken an active interest both in computers and in natural language have come to realise that computers, although impressively fast and reliable in many tasks, are not very brilliant when it comas to making in-du...

In order to cope with the ambiguity of spatial relative position concepts, we propose a new definition of the relative position between two objects in a fuzzy set framework. This definition is based on a morphological and fuzzy pattern-matching approach, and consists of comparing an object to a fuzzy landscape representing the degree of satisfaction of a directional relationship to a reference ...

We propose an innovative segmentation algorithm based on mathematical morphology operators. This definition is based on a morphological and fuzzy pattern-matching approach, and consists in comparing an object to a fuzzy landscape representing the degree of satisfaction of an affinity relationship. It has good formal properties, it is flexible, it fits the intuition, and it can be used for struc...

Syntactic methods in pattern recognition have been around for more than 20 years now [22, 23], and numerous applications have been done with these basic techniques. Structural pattern recognition is an even vaster field [47] (syntactic methods can actually be considered to belong to it), where many methods exist and have been used for various practical applications. These methods have been exte...

: This study aims to explore the relationship between syntactic and lexical complexity and also the relationship between different aspects of lexical complexity. To this end, speech monologs of 35 Iranian high-intermediate learners of English on three different tasks (i.e. argumentation, description, and narration) were analyzed for correlations between one measure of sy...

Currently there are three basic types of pattern recognition, the syntactic, the statistical and the neural types. They all have advantages and disadvantages, some of which are troublesome. In statistical methods it is difficult to express structured information. Neural methods have problems to represent neural networks semantically. In syntactic methods it is lead to learn new rules. This is e...

Robust, flexible and sufficiently general vision systems such as those for recognition and description of complex 3dimensional objects require an adequate armamentarium of representations and learning mechanisms. This paper briefly analyzes the strengths and weaknesses of different learning paradigms such as symbol processing systems, connectionist networks, and statistical and syntactic patter...