Digit Classification Using Signatures
Runci, Alexander
Runci, Alexander
Citations
Altmetric:
License
License
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
Date
2022-01-01
Student Status
Undergraduate
Journal Title
Journal ISSN
Volume Title
Type of presentation
Poster Presentation
Collections
Research Projects
Organizational Units
Journal Issue
Citation
DOI
Advisor(s)
Department
Program/Major
Electrical Engineering
College/School
College of Engineering and Mathematical Sciences
Organization
item.page.researchcategory
Engineering & Physical Sciences