September 2019
Intermediate to advanced
420 pages
10h 29m
English
book
Machine Learning for OpenCV 4 - Second Edition
by Aditya Sharma, Michael Beyeler (USD), Vishwesh Ravi Shrimali, Michael Beyeler
Content preview from Machine Learning for OpenCV 4 - Second Edition
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Detecting Pedestrians with Support Vector Machines
In the previous chapter, we talked about how to use decision trees for classification and regression. In this chapter, we want to direct our attention to another well-established supervised learner in the machine learning world: support vector machines (SVMs). Soon after their introduction in early 1990, SVMs quickly became popular in the machine learning community, largely because of their success in early handwritten digit classification. They remain relevant to this day, especially in application domains, such as computer vision.
The goal of this chapter is to apply SVMs to a popular problem in computer vision: pedestrian detection. In contrast to a recognition task (where we name the ...
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I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.