A multi-threshold image segmentation method based on arithmetic optimization algorithm: A real case with skin cancer dermoscopic images
S Hao, C Huang, Y Chen, M Wang, L Liu… - Journal of …, 2025 - academic.oup.com
Multi-threshold image segmentation (MTIS) is a crucial technology in image processing,
characterized by simplicity and efficiency, and the key lies in the selection of thresholds …
characterized by simplicity and efficiency, and the key lies in the selection of thresholds …
Meta-learning of feature distribution alignment for enhanced feature sharing
Meta-learning aims to learn common feature representations between tasks to quickly adapt
and perform well when facing new tasks. However, current meta-learning algorithms ignore …
and perform well when facing new tasks. However, current meta-learning algorithms ignore …
The spike recognition in strong motion records model based on improved feature extraction method and SVM
B Zhou, W Guo, M Wang, Y Zhang, R Zhang… - Computers & …, 2024 - Elsevier
Spike is a type of abnormal waveform observed in strong motion records. It is characterized
by a sudden and significant increase in peak acceleration, exceeding the theoretical range …
by a sudden and significant increase in peak acceleration, exceeding the theoretical range …
A Novel Approach to Automatically Digitize Analog Seismograms
M Wang, F Yang, X Liao, B Wang… - Seismological …, 2025 - pubs.geoscienceworld.org
A Novel Approach to Automatically Digitize Analog Seismograms Page 1 A Novel Approach to
Automatically Digitize Analog Seismograms Maofa Wang*1,2 , Fengshan Yang1 , Xin Liao3 …
Automatically Digitize Analog Seismograms Maofa Wang*1,2 , Fengshan Yang1 , Xin Liao3 …
Feature Aligning Few shot Learning Method Using Local Descriptors Weighted Rules
B Yan - arXiv preprint arXiv:2408.14192, 2024 - arxiv.org
Few-shot classification involves identifying new categories using a limited number of labeled
samples. Current few-shot classification methods based on local descriptors primarily …
samples. Current few-shot classification methods based on local descriptors primarily …
Meta-learning algorithms and applications
O Bohdal - 2024 - era.ed.ac.uk
Meta-learning in the broader context concerns how an agent learns about their own
learning, allowing them to improve their learning process. Learning how to learn is not only …
learning, allowing them to improve their learning process. Learning how to learn is not only …