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課程名稱 |
數位影像處理
DIGITAL IMAGE PROCESSING |
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開課學期 |
98-1 |
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授課對象 |
電機資訊學院 資訊工程學研究所 |
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授課教師 |
李明穗 |
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課號 |
CSIE5612 |
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課程識別碼 |
922EU3010 |
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班次 |
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學分 |
3 |
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全/半年 |
半年 |
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必/選修 |
選修 |
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上課時間 |
星期三2,3,4(9:10~12:10) |
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上課地點 |
資104 |
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備註 |
本課程以英語授課。
總人數上限：50人 |
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課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
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課程大綱
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為確保您我的權利,請尊重智慧財產權及不得非法影印
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課程概述 |
The outline of this course is given below.
I. Pattern Recognition Overview
II. Bayesian Decision Theory
III. Supervised Learning Using Parametric Approaches
IV. Supervised Learning Using Non-parametric Approaches
V. Linear Discriminant Functions
VI. Unsupervised Learning and Clustering
VII. Special Topics in PR |
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課程目標 |
The goal of this course is to introduce the basic concepts and techniques used
in the field of pattern recognition (PR). Broadly speaking, PR is a science
that concerns the classification (or recognition) of measurements. It has many
important applications, for example, document analysis, face recognition,
fingerprint identification, speech recognition, medical diagnosis, data
mining, and information retrieval. |
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課程要求 |
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預期每週課後學習時數 |
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Office Hours |
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指定閱讀 |
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參考書目 |
William K. Pratt, Digital Image Processing, 3rd Edition, John Wiley & Sons Inc., 2001. |
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評量方式
(僅供參考) |
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