AIMC Topic: Pattern Recognition, Automated

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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...
Models, Neurological Action Potentials Neurons Pattern Recognition, Automated Algorithms Neuronal Plasticity Humans Neural Networks, Computer
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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...
Algorithms Databases, Factual Humans Neural Networks, Computer Seizures Pattern Recognition, Automated Deep Learning Electroencephalography 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 ...
Human Activities Wearable Electronic Devices Neural Networks, Computer Unsupervised Machine Learning Supervised Machine Learning Algorithms Humans Pattern Recognition, Automated
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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...
Semantics Image Processing, Computer-Assisted Pattern Recognition, Automated Attention Humans Machine Learning
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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...
Algorithms Image Processing, Computer-Assisted Pattern Recognition, Automated Pattern Recognition, Visual Humans Neural Networks, Computer
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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...
Algorithms Humans Pattern Recognition, Automated Neural Networks, Computer
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An efficient framework based on local multi-representatives and noise-robust synthetic example generation for self-labeled semi-supervised classification.

Neural networks : the official journal of the International Neural Network Society Jan 16, 2025
While self-labeled methods can exploit unlabeled and labeled instances to train classifiers, they are also restricted by the labeled instance number and distribution. SEG-SSC, k-means-SSC, LC-SSC, and LCSEG-SSC are sophisticated solutions for overcom...
Supervised Machine Learning Algorithms Humans Pattern Recognition, Automated Cluster Analysis Neural Networks, Computer
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PFENet: Towards precise feature extraction from sparse point cloud for 3D object detection.

Neural networks : the official journal of the International Neural Network Society Jan 16, 2025
Accurate 3D point cloud object detection is crucially important for autonomous driving vehicles. The sparsity of point clouds in 3D scenes, especially for smaller targets like pedestrians and bicycles that contain fewer points, makes detection partic...
Humans Imaging, Three-Dimensional Neural Networks, Computer Pattern Recognition, Automated Algorithms
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Real-Time On-Device Continual Learning Based on a Combined Nearest Class Mean and Replay Method for Smartphone Gesture Recognition.

Sensors (Basel, Switzerland) Jan 13, 2025
Sensor-based gesture recognition on mobile devices is critical to human-computer interaction, enabling intuitive user input for various applications. However, current approaches often rely on server-based retraining whenever new gestures are introduc...
Humans Smartphone Algorithms Pattern Recognition, Automated Machine Learning Gestures
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