Feature Map Machine Learning. A feature is a measurable property of the object youre trying to analyze. They are important for many different areas of machine learning and pattern processing.
Each convolutional kernel is used to generate a feature map based on input. This paper proposes a machine learning based approach to generate tribocorrosion maps which can be used to predict tribosystem performance. It is called an activation map because it is a mapping that corresponds to the activation of different parts of the image and also a feature map because it is also a mapping of where a certain kind of feature is found in the image.
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In data science one of the main concern is the time complexity which depends largely on the number of features. I was recently working with a dataset that had multiple features spanning varying degrees of magnitude range and units. A feature map is a function which maps a data vector to feature space. Each feature or column represents a measurable piece of data that can.
