AIMC Topic: Pattern Recognition, Automated
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Enhancing few-shot image classification through learnable multi-scale embedding and attention mechanisms.
Neural networks : the official journal of the International Neural Network Society
Jul 1, 2025
In the context of few-shot classification, the goal is to train a classifier using a limited number of samples while maintaining satisfactory performance. However, traditional metric-based methods exhibit certain limitations in achieving this objecti...
ADAMT: Adaptive distributed multi-task learning for efficient image recognition in Mobile Ad-hoc Networks.
Neural networks : the official journal of the International Neural Network Society
Jul 1, 2025
Distributed machine learning in mobile adhoc networks faces significant challenges due to the limited computational resources of devices, non-IID data distribution, and dynamic network topology. Existing approaches often rely on centralized coordinat...
DRTN: Dual Relation Transformer Network with feature erasure and contrastive learning for multi-label image classification.
Neural networks : the official journal of the International Neural Network Society
Jul 1, 2025
The objective of multi-label image classification (MLIC) task is to simultaneously identify multiple objects present in an image. Several researchers directly flatten 2D feature maps into 1D grid feature sequences, and utilize Transformer encoder to ...
MVMD-TCCA: A method for gesture classification based on surface electromyographic signals.
Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology
Jun 1, 2025
Gesture recognition plays a fundamental role in enabling nonverbal communication and interaction, as well as assisting individuals with motor impairments in performing daily tasks. Surface electromyographic (sEMG) signals, which can effectively detec...
Learning Sequential Variation Information for Dynamic Facial Expression Recognition.
IEEE transactions on neural networks and learning systems
Jun 1, 2025
A multiscale sequence information fusion (MSSIF) method is presented for dynamic facial expression recognition (DFER) in video sequences. It exploits multiscale information by integrating features from individual frames, subsequences, and entire sequ...
Rethinking Appearance-Based Deep Gait Recognition: Reviews, Analysis, and Insights From Gait Recognition Evolution.
IEEE transactions on neural networks and learning systems
Jun 1, 2025
Gait recognition is a prominent biometric recognition technique extensively employed in public security. Appearance-based and model-based gait recognition are two categories of methods commonly used. Specifically, appearance-based methods, which use ...
A Forward and Backward Compatible Framework for Few-Shot Class-Incremental Pill Recognition.
IEEE transactions on neural networks and learning systems
Jun 1, 2025
Automatic pill recognition (APR) systems are crucial for enhancing hospital efficiency, assisting visually impaired individuals, and preventing cross-infection. However, most existing deep learning-based pill recognition systems can only perform clas...
Intelligent System for Automated Spheroid Segmentation Using Machine Learning.
Studies in health technology and informatics
May 15, 2025
Image segmentation is a crucial task of medical image processing, including the analysis of multicellular tumour spheroids (MTSs), a common in vitro model used in cancer research for drug screening. Accurate segmentation of MTSs images allows the ext...
Identifying Symptom Information in Clinical Notes Using Natural Language Processing.
Nursing research
May 13, 2025
BACKGROUND: Symptoms are a core concept of nursing interest. Large-scale secondary data reuse of notes in electronic health records (EHRs) has the potential to increase the quantity and quality of symptom research. However, the symptom language used ...
[Gesture accuracy recognition based on grayscale image of surface electromyogram signal and multi-view convolutional neural network].
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Dec 25, 2024
This study aims to address the limitations in gesture recognition caused by the susceptibility of temporal and frequency domain feature extraction from surface electromyography signals, as well as the low recognition rates of conventional classifiers...
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