May 23: Machine Learning-SVMs for Image Segmentation

Advanced Series

Title: Machine Learning: SVMs for Image Segmentation

Speaker: David Fridovich-Keil

Time & Date: 2pm-3pm Saturday May 23

Location: Princeton Public Library, teen room (3rd floor)

Abstract:

Machine learning is a buzzword these days. You probably already know that machine learning is used for face recognition, but I bet you didn’t know it’s also used for music classification and selection (e.g. Spotify), household thermostats (Nest), stock trading, and robotics. But what is it, exactly? Machine learning is often defined as algorithms that can improve their performance over time and experience. For example, a face recognition algorithm might attain higher accuracy if it has seen more example faces of each person. In this session, we will see one of the most common machine learning tools — the linear Support Vector Machine, or SVM — and try using it to classify pixels in an image as either people or not people.

Chili peppers: 2 out of 4.

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