模式识别课程中的统计学方法概述

An Introduction to the Application of Statistical Theory in the Pattern Recognition Course

模式识别是近年来迅速发展的一门学科,在工业、信息处理等领域有广泛应用。本文对模式识别、模式识别与统计学的关系进行了简单介绍,同时介绍了模式识别课程中两种基本的统计学方法:贝叶斯统计决策理论及概率密度估计理论。

Pattern recognition,a quickly developed academic subject,is widely used in industry and signal processing fields.The paper introduces pattern recognition and the relationship between pattern recognition and statistics and two basic statistical methods： statistical decision theory based on Bayesian and the evaluation of probability.