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Course Info

  • Course Number / Code:
  • 1.126J (Fall 2006) 
  • Course Title:
  • Pattern Recognition and Analysis 
  • Course Level:
  • Graduate 
  • Offered by :
  • Massachusetts Institute of Technology (MIT)
    Massachusetts, United States  
  • Department:
  • Media Arts and Sciences 
  • Course Instructor(s):
  • Media Lab Faculty and Staff 
  • Course Introduction:
  •  


  • MAS.622J / 1.126J Pattern Recognition and Analysis



    Fall 2006




    Course Highlights


    This course features problem sets in the assignments section and sample student projects.


    Course Description


    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.


    Technical Requirements


    Special software is required to use some of the files in this course: .dat, .gz, .zip, and .tar.

     

ACKNOWLEDGEMENT:
This course content is a redistribution of MIT Open Courses. Access to the course materials is free to all users.






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