26 pagesFirst of all, let's give a tentative answer to the following question: what is pattern recognition (PR)? Among all the possible existing answers, that which we consider being the best adapted to the situation and to the concern of this chapter is: "pattern recognition is the scientific discipline of machine learning (or artificial intelligence) that aims at classifying data (patterns) into a number of categories or classes". But what is a pattern? A pattern recognition system (PRS) is an automatic system that aims at classifying the input pattern into a specific class. It proceeds into two successive tasks: (1) the analysis (or description) that extracts the characteristics from the pattern being studied and (2) the classification (...
Abstract – Pattern Recognition has attracted the attention of researchers in last few decades as a m...
Pattern recognition techniques are divided into categories of supervised, unsupervised and semi supe...
Two basic models of human pattern recognition have been advanced: feature analysis and hypothesis t...
26 pagesFirst of all, let's give a tentative answer to the following question: what is pattern recog...
In this paper, we review some pattern recognition schemes published in recent years. After giving th...
Closely related to the concept of Machine Learning, Pattern Recognition is the assignment of an outp...
Summary. Automatic pattern recognition is usually considered as an engineer-ing area which focusses ...
Pattern recognition aims to make the process of learning and detection of patterns explicit, such th...
Pattern recognition is a very general technology useful for the automatic detection and classifi-cat...
Pattern recognition is an innate cognitive process of matching information from the environment with...
Pattern recognition is the scientific discipline that focuses on the classification of data, objects...
This paper is tutorial in nature introducing the statistical and syntactic pattern recognition techn...
Call number: LD2668 .R4 CMSC 1987 N54Master of ScienceComputing and Information Science
Pattern Recognition is a branch of science that concerns the description or classification (or ident...
This paper aims at giving a contribution to the ongoing attempt to turn the theory of pattern-recog...
Abstract – Pattern Recognition has attracted the attention of researchers in last few decades as a m...
Pattern recognition techniques are divided into categories of supervised, unsupervised and semi supe...
Two basic models of human pattern recognition have been advanced: feature analysis and hypothesis t...
26 pagesFirst of all, let's give a tentative answer to the following question: what is pattern recog...
In this paper, we review some pattern recognition schemes published in recent years. After giving th...
Closely related to the concept of Machine Learning, Pattern Recognition is the assignment of an outp...
Summary. Automatic pattern recognition is usually considered as an engineer-ing area which focusses ...
Pattern recognition aims to make the process of learning and detection of patterns explicit, such th...
Pattern recognition is a very general technology useful for the automatic detection and classifi-cat...
Pattern recognition is an innate cognitive process of matching information from the environment with...
Pattern recognition is the scientific discipline that focuses on the classification of data, objects...
This paper is tutorial in nature introducing the statistical and syntactic pattern recognition techn...
Call number: LD2668 .R4 CMSC 1987 N54Master of ScienceComputing and Information Science
Pattern Recognition is a branch of science that concerns the description or classification (or ident...
This paper aims at giving a contribution to the ongoing attempt to turn the theory of pattern-recog...
Abstract – Pattern Recognition has attracted the attention of researchers in last few decades as a m...
Pattern recognition techniques are divided into categories of supervised, unsupervised and semi supe...
Two basic models of human pattern recognition have been advanced: feature analysis and hypothesis t...