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MAS.622J/1.126J模式识别与分析

MAS.622J / 1.126J Pattern Recognition and Analysis
课程网址: http://ocw.mit.edu/courses/media-arts-and-sciences/mas-622j-patte...  
主讲教师: Media Lab Faculty and Staff
开课单位: 麻省理工学院
开课时间: 2006-01-01
课程语种: 英语
中文简介:
这门课处理描述和识别数字数据中感兴趣的模式和特征的基本原理。我们讨论了信号理解问题的基本工具和理论,并将其应用于用户建模、影响识别、语音识别和理解、计算机视觉、生理分析等等。我们也包括决策理论,统计分类,最大似然和贝叶斯估计,非参数方法,无监督学习和聚类。在课堂上,我们还讨论了一些关于机器和人类从主动研究中学习的其他话题。
课程简介: This class deals with the fundamentals of characterizing and recognizing patterns and features of interest in numerical data. We discuss the basic tools and theory for signal understanding problems with applications to user modeling, affect recognition, speech recognition and understanding, computer vision, physiological analysis, and more. We also cover decision theory, statistical classification, maximum likelihood and Bayesian estimation, nonparametric methods, unsupervised learning and clustering. Additional topics on machine and human learning from active research are also talked about in the class.
关 键 词: 模式识别; 特征检测; 条件概率
课程来源: 麻省理工学院公开课
最后编审: 2024-05-08:chenjy
阅读次数: 64