Home #edutech MIT OpenCourseWare: New Courses in Media Arts and Sciences MAS.622J Pattern Recognition and Analysis (MIT)

MAS.622J Pattern Recognition and Analysis (MIT)

MIT OpenCourseWare: New Courses in Media Arts and Sciences 2013-03-28

Summary:

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. Email this Article Add to Facebook Add to Twitter Add to digg Add to Google

Link:

http://www.pheedcontent.com/click.phdo?i=05c155611aa327e562cb92720599c6c3

From feeds:

#edutech ยป MIT OpenCourseWare: New Courses in Media Arts and Sciences

Tags:

genetic algorithms roc curves pattern recognition feature detection classification probability theory pattern analysis conditional probability bayes rule random vectors decision theory likelihood ratio test fisher discriminant template-based recognition feature extraction eigenvector and multilinear analysis linear discriminant perceptron learning optimization by gradient descent support vecotr machines k-nearest-neighbor classification parzen estimation unsupervised learning clustering vector quantization k-means expectation-maximization hidden markov models viterbi algorithm baum-welch algorithm linear dynamical systems kalman filtering bayesian networks decision trees reinforcement learning

Authors:

Faculty and Staff, Media Lab

Copyright info:

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

Date tagged:

03/28/2013, 16:16

Date published:

10/04/2007, 17:20