| Course title | |||||
| パターン認識 [Pattern Recognition] | |||||
| Course category | technology speciality courses,ets. | Requirement | Credit | 2 | |
| Department | Year | 3～4 | 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 |
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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 |
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| Last update |
| 3/5/2018 3:22:13 PM |