Getting Started With Sparse Modeling Using Spm-Image｜Takashi Someda｜PyCon TW 2020
Channel: PyCon Taiwan
Date: 2019-10-31

PyCon Taiwan 2019｜一般演講 Talks

🪧 投影片 Slides：https://speakerdeck.com/hacarus/getting-started-with-sparse-modeling-with-spm-image

💡 摘要 Abstract 💡
Blackbox problem has been becoming a popular concern when applying machine learning in specific applications, like medical system, where a user is supposed to understand the behavior of the system. Collecting tons of data for training machine learning model is another headache especially when you newly create a system from scratch. In this talk, I introduce the data analysis approach called "Sparse Modeling" that can produce good results, even if the amount of data is small. Event Horizon Telescope project, capturing blackhole image, is one good example of this nature. It's also referred to as explainable since it can tell you which input features have a strong impact to result generated by a machine learning model. With the overview of the method, I'll show concrete code examples for common use cases like image analysis, using a Python library named spm-image.

0:00 Introduction
1:36 Today's Takeaways
3:04 Blackbox Problem
4:51 Approach to explainable Al
7:43 Lacking or missing data
10:38 History of Sparse Modeling
12:48 Basic approach to the problem
14:41 Introduce Regularization
15:45 LO and L1 norm optimization
18:34 Example: Numerical experiment
20:04 Compressed Sensing
22:55 Total Variation
23:43 Dictionary Learning
24:48 Example: Image Reconstruction
25:35 Code: Image Reconstruction
26:22 Example: Inpaiting and Super Resolution
27:38 Code: Inpainting
28:14 Anomaly Detection
29:14 Example: Defect detection
30:08 Example: Fused Lasso and Trend Filtering
30:43 Example: Bone image analysis
30:57 Sparse Modeling in a nutshell

🚀 關於講者 About Speaker - Takashi Someda 🚀
After getting his master’s degree in informatics at Graduate School of Kyoto University, he started his job at Sun Microsystems as an engineer. For about 20 years in the software industry, he has experienced several roles like software developer, technical evangelist, and data scientist. Now, as CTO of Hacarus, he is responsible for technical direction with strong passion toward building a creative, self-organized team like Pixer.

#python #pycontw #pycontw2019

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