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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2023 |
Pattern Recognition (3c)
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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 |