학과 세미나 및 콜로퀴엄



ASARC 세미나 Discrete Math 학부생 콜로퀴엄 산업응용수학 세미나 BK21세미나 콜로퀴엄 Face the World with Mathematical Mind 금융수학 세미나 학과 세미나 기타 대학원생 세미나 위상수학 세미나 박사학위심사 PDE 세미나 미분기하 세미나 심플렉틱 기하 세미나 Basic Notions Seminar 금융공학특별강연 KMRS 세미나 계산수학 세미나 KAIST CMC 정오의 수학산책 KAIST CMC 세미나 NIMS 세미나 NIMS 산업문제 세미나 NIMS 콜로퀴엄 박사논문심사 KAIST-KSIAM 공동 콜로퀴엄 대수기하학 확률론 응용수학 세미나 정수론 해외 석학 특별 강연 시리즈 확률 * 통계 수리생물학 미분류 응용 및 계산수학 세미나 Mathematics & Beyond Seminar Topology, Geometry, and Data Analysis
수리생물학 대수기하학 이산수학

2023-07
Sun Mon Tue Wed Thu Fri Sat
            1
2 3 4 5 6 7 8
9 10 11 12 13 14 15
16 17 18 19 1 20 1 21 1 22
23 24 25 26 27 28 29
30 31          
2023-08
Sun Mon Tue Wed Thu Fri Sat
    1 2 3 4 5
6 7 8 9 10 11 12
13 14 15 16 17 18 19
20 21 22 23 24 25 26
27 28 29 30 31    

로그인 시, 세미나를 이메일로 구독할 수 있습니다.

This three-day lecture series aims to explore some topics in mathematical image processing before the era of neural networks, highlighting the techniques and applications that were prevalent at that time. From the classical filter-based models to PDE-based or minimization-based models, a variety of example-driven explanations and underlying mathematical theories are provided. By attending the lecture series, participants will gain a comprehensive understanding of image processing techniques used before the advent of neural networks, exploring the challenges, innovations and applications of classical algorithms. This knowledge will provide a foundation for further exploration in the field of image processing and its evolution into the AI-driven era.
Host: 이창옥 교수     미정     2023-07-10 10:33:04
This three-day lecture series aims to explore some topics in mathematical image processing before the era of neural networks, highlighting the techniques and applications that were prevalent at that time. From the classical filter-based models to PDE-based or minimization-based models, a variety of example-driven explanations and underlying mathematical theories are provided. By attending the lecture series, participants will gain a comprehensive understanding of image processing techniques used before the advent of neural networks, exploring the challenges, innovations and applications of classical algorithms. This knowledge will provide a foundation for further exploration in the field of image processing and its evolution into the AI-driven era.
3-day lecture series (2 of 3)
Host: 이창옥 교수     미정     2023-07-10 09:56:17
This three-day lecture series aims to explore some topics in mathematical image processing before the era of neural networks, highlighting the techniques and applications that were prevalent at that time. From the classical filter-based models to PDE-based or minimization-based models, a variety of example-driven explanations and underlying mathematical theories are provided. By attending the lecture series, participants will gain a comprehensive understanding of image processing techniques used before the advent of neural networks, exploring the challenges, innovations and applications of classical algorithms. This knowledge will provide a foundation for further exploration in the field of image processing and its evolution into the AI-driven era.
3-day lecture series (1 of 3)
Host: 이창옥 교수     미정     2023-07-10 09:54:50