Abstract: Underwater acoustic signal classification is a critical task that involves identifying different types of signals in a complex and dynamic underwater environment, which is often contaminated ...
Feb. 22nd, 2024: We released our paper on Arxiv. Further details can be found in code and our updated arXiv. Weakly supervised visual recognition using inexact supervision is a critical yet ...
This repo attempts to proposes a supervised learning algorithm of SNN by using spike sequences with complex spatio-temporal information. We explore an error back ...
The recognition of tooth-marked tongues has important value for clinical diagnosis of traditional Chinese medicine. Tooth-marked tongue is often related to spleen deficiency, cold dampness, sputum, ...
Spiking neural network (SNN) is considered to be the brain-like model that best conforms to the biological mechanism of the brain. Due to the non-differentiability of the spike, the training method of ...
Abstract: Due to the spectral diversity of objects within the same classes and the spectral similarity between different classes, classical fuzzy classification methods perform poorly in multispectral ...
1 Department of Civil Engineering, Tshwane University Technology, Pretoria, South Africa. 2 Department of Civil Engineering, Vaal University of Technology, Vanderbijlpark, South Africa. 3 Department ...
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