Generation and Frame Characteristics of Predefined Evenly-Distributed Class Centroids for Pattern Classification

Generation and Frame Characteristics of Predefined Evenly-Distributed Class Centroids for Pattern Classification

Predefined evenly-distributed class centroids (PEDCC) can be widely used in models and algorithms of pattern classification, such as CNN classifiers, classification autoencoders, clustering, and semi-supervised learning, etc. Its basic idea is to predefine the class centers, which are evenly-distrib...

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Bibliographic Details
Main Authors: Haiping Hu, Yingying Yan, Qiuyu Zhu, Guohui Zheng
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Predefined evenly-distributed class centroids
polyhedron in high-dimensional space
pattern classification
CNN classifiers
frame theory
Online Access:https://ieeexplore.ieee.org/document/9444709/

Internet

https://ieeexplore.ieee.org/document/9444709/

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