IECE Transactions on Neural Computing
Print ISSN: 0000-0000 | Online ISSN: 0000-0000
Editor-in-Chief: Weiwei Cai
Impact Factor: --
CiteScore: 6.79
The IECE Transactions on Pattern Recognition and Intelligent Systems (TPRIS) publishes articles on all traditional areas of computer vision and image understanding, all traditional areas of pattern analysis and recognition, and selected areas of machine intelligence, with a particular emphasis on machine learning for pattern recognition. Areas such as techniques for visual search, document and handwriting analysis, medical image recognition, video and image sequence analysis, content-based retrieval of image and video, face and gesture recognition and relevant specialized hardware and/or software architectures are also covered.
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Feature Paper Article
A Biomimetic Covering Learning Method Based on Principle of Homology Continuity
IECE Transactions on Neural Computing pp.1-13 Issue 1 DOI:TPRIS.2022.7JCBV4VU
The Principle of Homology Continuity (PHC) based covering learning method is an effective method to solve the pattern recognition problem. However, PHC and the existence of optimal coverage are not mathematical proven. To address this issue, we firstly give the mathematical description and theoretical proof of PHC. On this basis, the theoretical definition of optimal coverage is introduced. Optimal coverage can determine the internal connections among samples as prior knowledge and use covering neurons to learn prior knowledge. Finally, we propose a kind of covering neuron model, and the effectiveness of which is demonstrated through extensive experiments conducted on the CIFAR-10, LFW, and... [...] Read more.
Received 1970-01-01; Accepted 1970-01-01; Issue published 1970-01-01