【 以下文字转载自 Mathematics 讨论区 】
发信人: mecanique (vinbo), 信区: Mathematics
标 题: seminar20251128 Tensor Decompositions: Beyond Regular and D
发信站: 水木社区 (Tue Nov 25 12:30:14 2025), 站内
mp.weixin.qq.com/s/5lTyUbCqOscAj3Ft0-QNmA
美国数学学会会士吴国宝主讲
Modern Mathematics Lecture Series
现代数学报告
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Speaker
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Michael NG 吴国宝
Hong Kong Baptist University
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Time
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Fri., 16:00-17:00, Nov. 28, 2025
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Venue
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C548, Shuangqing Complex Building A
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Online
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Zoom Meeting ID: 271 534 5558
Passcode: YMSC
（
Title
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Tensor Decompositions:
Beyond Regular and Discrete
Abstract
Higher-order tensors are suitable for representing multi-dimensional data in real-world, e.g., color images and videos, low-rank tensor representation has become one of the emerging areas in machine learning and computer vision. However, classical low-rank tensor representations can solely represent multi-dimensional discrete data on meshgrid, which hinders their potential applicability in many scenarios beyond meshgrid. In this talk, we discuss the recent development of tensor representations in data science. Both theoretical results and numerical examples are presented to demonstrate the usefulness of tensor representations.
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