SEMINAR IN GREEN SCIENCE AND ENGINEERING 1A

博士前期課程理工学研究科 - 理工学専攻

MSGR1651

コース情報

担当教員: 山中高夫

単位数: 2

年度: 2024

学期: 秋学期

曜限: 水5

形式: 対面授業

レベル: 500

アクティブラーニング: あり

他学部履修: 不可

評価方法

その他

Attendance, Presentation, Discussion

100%

詳細情報

概要

This seminar is designed for reviewing literature in computer science, which is required to complete their master's study. Students will make presentations and discussions on books or papers related to computer science. This course corresponds to the second and third items of the curriculum policy of the graduate program in science and technology.

目標

The aim to the class is to understand the theory and application of computer science. This aim corresponds to the second and third items of the diploma policy of the graduate program in science and technology.

授業外の学習

Students are required to prepare and review the classes for 190 minutes every week.

所要時間: 190 minutes

スケジュール

Students will search for the papers related to their own research theme, and introduce interesting papers in presentation. Undergraduate students in the same research field may take their turn in the classes. The following schedule is an example of the classes. Literature review: Undergraduate Multiscale Principal Components Analysis for Image Local Orientation
Literature review: Undergraduates Circular harmonic phase filters for efficient rotation-invariant pattern recognition A palmprint recognition algorithm using phase-based matching
Literature review: M2 Learning to Compare Image Patches via Convolutional Neural
Literature review: M2 Content-Aware-Compression-using-Saliency-Driven-Image-Retargeting-for-Wireless-Video Diversity in Object Proposals
Literature review: M1 Recognition of Gray Character Using Gabor Filters
Literature review: M1 DeepGaze II Reading Fixations From Deep Features Trained On Object Recognition Calorie_Estimation_From_Fast_Food_Images
Midterm presentation for undergraduate students
Midterm presentation for graduate students
Literature review: Undergraduates Object recognition and detection by a combination of support vector machine and rotation invariant phase only correlation
Literature review: Undergraduates A Practical Palmprint Recognition Algorithm Using Phase Information Image Orientation Estimation with Convolutional Networks
Literature review: M2 The secrets salient object segmentation
Literature review: M2 OfflineSignatureVerificationwithConvolutionalNeuralNetworks A Data-driven Metric for Comprehensive Evaluation of Saliency Models
Literature review: M1 WideSliceResidualNetworkForFoodRecognition
Literature review: M1 Joint Hand Detection and Rotation Estimation by Using CNN

教科書

Recent journal papers and conference papers.

参考書

書籍情報はありません。