Digit Classification Using Signatures
Runci, Alexander
Runci, Alexander
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Abstract
The goal of classification using signatures is to improve the efficiency of neural networks and other classifiers by using less data to achieve the same or better level of accuracy. By calculating the signatures of hand drawn digits, a larger photo containing thousands of pixels can be represented by far fewer values that still allow the photo to be classified. Digits are used to showcase the benefits of classification using signatures by easily drawing a digit of your own to test the accuracy of this classification system.
Description
Undergraduate
Date
2022-01-01