Course title
パターン認識   [Pattern Recognition]
Course category technology speciality courses,ets.  Requirement   Credit 2 
Department   Year 34  Semester Spring 
Course type Spring  Course code 023811
Instructor(s)
中川 正樹   [NAKAGAWA Masaki]
Facility affiliation University Research Administration Center 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
Course schedule
What are patterns, what is pattern recognition?
Findings from Pathology, Neurophysiology and Cognitive Science
Pattern recognition by computers
Discriminant functions
Statistical methods
Syntactic methods
Elastic matching
Clustering
Prototype learning
Neural networks
Feature extraction and normalization
Practice of pattern recognition
Context processing
Prerequisites
mathematics
Required Text(s) and Materials
References
Duda, Hart, Stork: Pattern Classification, John Wiley & Sons.
Assessment/Grading
Examination and attendance to the lecture.
Message from instructor(s)
Course keywords
Office hours
Remarks 1
Remarks 2
Related URL
Lecture Language
Language Subject
Last update
3/5/2018 3:22:13 PM