AIMC Topic: Pattern Recognition, Automated

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A Novel Improvement of Feature Selection for Dynamic Hand Gesture Identification Based on Double Machine Learning.

Sensors (Basel, Switzerland) Feb 13, 2025
Causal machine learning is an approach that combines causal inference and machine learning to understand and utilize causal relationships in data. In current research and applications, traditional machine learning and deep learning models always focu...
Gestures Machine Learning Humans Pattern Recognition, Automated Hand Algorithms Principal Component Analysis Neural Networks, Computer
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The machine learning algorithm based on decision tree optimization for pattern recognition in track and field sports.

PloS one Feb 13, 2025
This study aims to solve the problems of insufficient accuracy and low efficiency of the existing methods in sprint pattern recognition to optimize the training and competition strategies of athletes. Firstly, the data collected in this study come fr...
Pattern Recognition, Automated Convolutional Neural Networks Track and Field Support Vector Machine Computer Simulation Running Random Forest Athletes Humans Biomechanical Phenomena Machine Learning
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Intervening on few-shot object detection based on the front-door criterion.

Neural networks : the official journal of the International Neural Network Society Feb 10, 2025
Most few-shot object detection methods aim to utilize the learned generalizable knowledge from base categories to identify instances of novel categories. The fundamental assumption of these approaches is that the model can acquire sufficient transfer...
Pattern Recognition, Automated Neural Networks, Computer Algorithms Humans
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CDNA-SNN: A New Spiking Neural Network for Pattern Classification Using Neuronal Assemblies.

IEEE transactions on neural networks and learning systems Feb 6, 2025
Spiking neural networks (SNNs) mimic their biological counterparts more closely than their predecessors and are considered the third generation of artificial neural networks. It has been proven that networks of spiking neurons have a higher computati...
Neurons Pattern Recognition, Automated Neural Networks, Computer Algorithms Models, Neurological Action Potentials Neuronal Plasticity Humans
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Deep Multiview Module Adaption Transfer Network for Subject-Specific EEG Recognition.

IEEE transactions on neural networks and learning systems Feb 6, 2025
Transfer learning is one of the popular methods to solve the problem of insufficient data in subject-specific electroencephalogram (EEG) recognition tasks. However, most existing approaches ignore the difference between subjects and transfer the same...
Humans Neural Networks, Computer Deep Learning Electroencephalography Seizures Algorithms Databases, Factual Pattern Recognition, Automated Imagination
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CapMatch: Semi-Supervised Contrastive Transformer Capsule With Feature-Based Knowledge Distillation for Human Activity Recognition.

IEEE transactions on neural networks and learning systems Feb 6, 2025
This article proposes a semi-supervised contrastive capsule transformer method with feature-based knowledge distillation (KD) that simplifies the existing semisupervised learning (SSL) techniques for wearable human activity recognition (HAR), called ...
Algorithms Wearable Electronic Devices Human Activities Supervised Machine Learning Pattern Recognition, Automated Unsupervised Machine Learning Humans Neural Networks, Computer
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Gesture recognition from surface electromyography signals based on the SE-DenseNet network.

Biomedizinische Technik. Biomedical engineering Jan 29, 2025
OBJECTIVES: In recent years, significant progress has been made in the research of gesture recognition using surface electromyography (sEMG) signals based on machine learning and deep learning techniques. The main motivation for sEMG gesture recognit...
Machine Learning Algorithms Humans Signal Processing, Computer-Assisted Electromyography Pattern Recognition, Automated Convolutional Neural Networks Gestures
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Multi-Label Zero-Shot Learning Via Contrastive Label-Based Attention.

International journal of neural systems Jan 23, 2025
Multi-label zero-shot learning (ML-ZSL) strives to recognize all objects in an image, regardless of whether they are present in the training data. Recent methods incorporate an attention mechanism to locate labels in the image and generate class-spec...
Humans Machine Learning Image Processing, Computer-Assisted Semantics Pattern Recognition, Automated Attention
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DCTCNet: Sequency discrete cosine transform convolution network for visual recognition.

Neural networks : the official journal of the International Neural Network Society Jan 18, 2025
The discrete cosine transform (DCT) has been widely used in computer vision tasks due to its ability of high compression ratio and high-quality visual presentation. However, conventional DCT is usually affected by the size of transform region and res...
Pattern Recognition, Visual Image Processing, Computer-Assisted Pattern Recognition, Automated Neural Networks, Computer Algorithms Humans
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Contrastive independent subspace analysis network for multi-view spatial information extraction.

Neural networks : the official journal of the International Neural Network Society Jan 17, 2025
Multi-view classification integrates features from different views to optimize classification performance. Most of the existing works typically utilize semantic information to achieve view fusion but neglect the spatial information of data itself, wh...
Humans Algorithms Pattern Recognition, Automated Neural Networks, Computer
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