Course title
Pattern Recognition & Machine Learning   [Pattern Recognition & Machine Learning]
Course category   Requirement   Credit 3 
Department   Year   Semester 3rd 
Course type 3rd  Course code 028866
Instructor(s)
堀田 政二, 藤田 桂英   [HOTTA Seiji, FUJITA Katsuhide]
Facility affiliation Faculty of Engineering Office   Email address

Course description
Pattern recognition classifies, identifies or recognizes symbols, structures or any type of information represented, conveyed or even hidden in a set of signals which are redundant and often noisy. It is theoretically and scientifically important to learn human abilities of pattern recognition and practically important to realize smooth human machine interaction.
Expected Learning
Refer to the curriculum polices shown in the TUAT web site.
Course schedule
1. What are patterns, what is pattern recognition?
2. Human Pattern Recognition, Findings from Pathology, Neurophysiology and Cognitive Science
3. Pattern Recognition by Computers
4. Discriminant Functions
5. Introduction to Statistical Methods
6. Details in Statistical Methods (quadratic discriminant function, and modified quadratic discriminant function)
7. Clustering and Prototype Learning
8. Neural Networks
9. Convolutional NN and Recurrent NN
10. Elastic Matching
11. Practical Issues (Normalization, Feature extraction, Feature selection)
12. Practice of Handwritten Character Recognition
13. Structural Methods and Typical Examples
14. Context Processing
15. Summary and examination
Prerequisites
Mathematics
In addition to 30 hours that students spend in the class, students are recommended to prepare for and revise the lectures, spending the standard amount of time as specified by the University and using the lecture handouts as well as the references specified below
Required Text(s) and Materials
References
Duda, Hart, Stork: Pattern Classification, John Wiley & Sons.
Assessment/Grading
Report with implementation and experiments: 100%
Message from instructor(s)
Course keywords
Office hours
Remarks 1
Remarks 2
Related URL
class code: cazbhe7
Lecture Language
English
Language Subject
Last update
10/25/2022 9:23:54 AM