AIMC Topic: Pattern Recognition, Automated

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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...
Neural Networks, Computer Cluster Analysis Humans Pattern Recognition, Automated Supervised Machine Learning Algorithms
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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...
Imaging, Three-Dimensional Pattern Recognition, Automated Neural Networks, Computer Algorithms Humans
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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...
Gestures Smartphone Machine Learning Algorithms Pattern Recognition, Automated Humans
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An adversarial transformer for anomalous lamb wave pattern detection.

Neural networks : the official journal of the International Neural Network Society Jan 12, 2025
Lamb waves are widely used for defect detection in structural health monitoring, and various methods are developed for Lamb wave data analysis. This paper presents an unsupervised Adversarial Transformer model for anomalous Lamb wave pattern detectio...
Pattern Recognition, Automated Neural Networks, Computer Algorithms
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Human-Centric Transformer for Domain Adaptive Action Recognition.

IEEE transactions on pattern analysis and machine intelligence Jan 9, 2025
We study the domain adaptation task for action recognition, namely domain adaptive action recognition, which aims to effectively transfer action recognition power from a label-sufficient source domain to a label-free target domain. Since actions are ...
Pattern Recognition, Automated Human Activities Cues Video Recording Humans Machine Learning Algorithms Image Processing, Computer-Assisted
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Adaptive Gait Feature Learning Using Mixed Gait Sequence.

IEEE transactions on neural networks and learning systems Jan 7, 2025
Gait recognition has become a mainstream technology for identification, as it can recognize the identity of subjects from a distance without any cooperation. However, when subjects wear coats (CL) or backpacks (BG), their gait silhouette will be occl...
Machine Learning Algorithms Humans Neural Networks, Computer Gait Pattern Recognition, Automated
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SemiHAR: Improving Semisupervised Human Activity Recognition via Multitask Learning.

IEEE transactions on neural networks and learning systems Jan 7, 2025
Semisupervised human activity recognition (SemiHAR) has attracted attention in recent years from various domains, such as digital health and ambient intelligence. Currently, it still faces two challenges. For one thing, discriminative features may ex...
Machine Learning Human Activities Algorithms Markov Chains Databases, Factual Humans Pattern Recognition, Automated Supervised Machine Learning Neural Networks, Computer
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Seeking a Hierarchical Prototype for Multimodal Gesture Recognition.

IEEE transactions on neural networks and learning systems Jan 7, 2025
Gesture recognition has drawn considerable attention from many researchers owing to its wide range of applications. Although significant progress has been made in this field, previous works always focus on how to distinguish between different gesture...
Humans Gestures Neural Networks, Computer Pattern Recognition, Automated Algorithms
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A discriminative multi-modal adaptation neural network model for video action recognition.

Neural networks : the official journal of the International Neural Network Society Jan 3, 2025
Research on video-based understanding and learning has attracted widespread interest and has been adopted in various real applications, such as e-healthcare, action recognition, affective computing, to name a few. Amongst them, video-based action rec...
Machine Learning Algorithms Video Recording Pattern Recognition, Automated Humans Neural Networks, Computer
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SVM directed machine learning classifier for human action recognition network.

Scientific reports Jan 3, 2025
Understanding human behavior and human action recognition are both essential components of effective surveillance video analysis for the purpose of guaranteeing public safety. However, existing approaches such as three-dimensional convolutional neura...
Pattern Recognition, Automated Human Activities Video Recording Neural Networks, Computer Machine Learning Algorithms Support Vector Machine Humans
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