文章基本信息

标题：Pattern Recognition and Their Different Approach
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作者：Ajit Kumar ; Rajeev Ranjan ; Dr. B.Mishra 等
期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2014
卷号：3
期号：1
页码：3778-3783
出版社：IJECS
摘要："Pattern recognition is the research area that studies the operation and design of systems that machine diagnostics, person identificationand industrial inspection.""A branch of artificial intelligence concerned with the classification or description of observations. Pattern recognition aims toclassify data (patterns) based on either a priori knowledge recognize patterns in data. It encloses sub disciplines like discriminantanalysis, feature extraction, error estimation, cluster analysis (together sometimes called statistical pattern recognition), grammaticalinference and parsing (sometimes called syntactical pattern recognition). Important application areas are image analysis,character recognition, speech analysis, man and or on statistical information extracted from the patterns. The patterns to be classifiedare usually groups of measurements or observations, defining points in an appropriate multidimensional space."Pattern recognition is the science of making inferences based on data. Two of the main forms of pattern recognitionare classification and regression. In classification problems, data are collected and given discrete class labels. In a regressionproblem, on the other hand, data labels are typically continuous values, not categorical. Basic pattern recognition approachesseek a function, f, that takes an observation and predicts the unseen label, y:=f(xj). The goals of learning in pattern recognitionare to develop the function, f, given only a (possibly small) set of training data, X={{xi,yi}}, I=1....N. As such, pattern recognitionis fundamentally an ill-posed problem, since it is trivially easy to define a function that performs arbitrarily well on the trainingdata (( ).The present paper reviews the techniques for automated extraction of information from signals.The techniques may be classified broadly into two categories—the conventional pattern recognition approach and the artificialintelligence (AI) based approach
关键词：Artificial intelligence; Feature Variables; Knowledge representation; Pattern recognition