Structure of pattern classification problems. Mathematics of statistical decision theory: random vectors, multivariate probability functions, discriminants, parametric and nonparametric techniques, Bayesian and maximum likelihood estimation, feature selection, dimensionality reduction, whitening transformations. Adaptive methods and clustering. Five programming assignments and a term paper.
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| 2022 |
Pattern Recognition (3c)
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| 2021 |
Pattern Recognition (3c)
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| 2020 |
Pattern Recognition (3c)
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| 2019 |
Pattern Recognition (3c)
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| 2018 |
Course Syllabus Ecse – 6610 Pattern Recognition (3c)
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Pattern Recognition (3c)
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| 2017 |
Pattern Recognition (3c)
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| 2016 |
Pattern Recognition (3c)
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| 2015 |
Pattern Recognition (3c)
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| 2014 |
Pattern Recognition (3c)
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| 2013 |
Pattern Recognition (3c)
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| 2012 |
Pattern Recognition (3c)
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| 2011 |
Pattern Recognition (3c)
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| 2010 |
Pattern Recognition (3c)
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| 2009 | ||||
| 2008 |
Pattern Recognition (3c)
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| 2007 |
Pattern Recognition (3c)
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| 2006 |
Pattern Recognition (3c)
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| 2005 |
Pattern Recognition (3c)
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| 2004 |
Pattern Recognition (3c)
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| 2003 |
Pattern Recognition (3c)
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| 2002 |
Pattern Recognition (3c)
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| 2001 |
Pattern Recognition (3c)
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| 2000 |
Pattern Recognition (3c)
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| 1999 |
Pattern Recognition (3c)
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| 1998 | ||||