AIMC Topic: Pattern Recognition, Automated

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GSE: A global-local storage enhanced video object recognition model.

Neural networks : the official journal of the International Neural Network Society Jan 2, 2025
The presence of substantial similarities and redundant information within video data limits the performance of video object recognition models. To address this issue, a Global-Local Storage Enhanced video object recognition model (GSE) is proposed in...
Humans Video Recording Pattern Recognition, Automated Neural Networks, Computer Algorithms
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Vision Sensor for Automatic Recognition of Human Activities via Hybrid Features and Multi-Class Support Vector Machine.

Sensors (Basel, Switzerland) Jan 1, 2025
Over recent years, automated Human Activity Recognition (HAR) has been an area of concern for many researchers due to its widespread application in surveillance systems, healthcare environments, and many more. This has led researchers to develop cohe...
Human Activities Support Vector Machine Pattern Recognition, Automated Humans Algorithms
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Identity Model Transformation for boosting performance and efficiency in object detection network.

Neural networks : the official journal of the International Neural Network Society Dec 31, 2024
Modifying the structure of an existing network is a common method to further improve the performance of the network. However, modifying some layers in network often results in pre-trained weight mismatch, and fine-tune process is time-consuming and r...
Algorithms Humans Pattern Recognition, Automated Neural Networks, Computer
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Fast ramp fraction loss SVM classifier with low computational complexity for pattern classification.

Neural networks : the official journal of the International Neural Network Society Dec 30, 2024
The support vector machine (SVM) is a powerful tool for pattern classification thanks to its outstanding efficiency. However, when encountering extensive classification tasks, the considerable computational complexity may present a substantial barrie...
Support Vector Machine Pattern Recognition, Automated Humans Algorithms
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Epileptic seizure detection in EEG signals via an enhanced hybrid CNN with an integrated attention mechanism.

Mathematical biosciences and engineering : MBE Dec 25, 2024
Epileptic seizures, a prevalent neurological condition, necessitate precise and prompt identification for optimal care. Nevertheless, the intricate characteristics of electroencephalography (EEG) signals, noise, and the want for real-time analysis re...
Attention Sensitivity and Specificity Machine Learning Pattern Recognition, Automated Electroencephalography Humans Deep Learning Algorithms Seizures Signal Processing, Computer-Assisted Epilepsy Neural Networks, Computer
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FPANet: Frequency-based video demoiréing using frame-level post alignment.

Neural networks : the official journal of the International Neural Network Society Dec 21, 2024
Moiré patterns, created by the interference between overlapping grid patterns in the pixel space, degrade the visual quality of images and videos. Therefore, removing such patterns (demoiréing) is crucial, yet remains a challenge due to their complex...
Humans Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Video Recording Pattern Recognition, Automated
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Automated identification of impact spatters and fly spots with a residual neural network.

Forensic science international Dec 20, 2024
In criminal investigations, distinguishing between impact spatters and fly spots presents a challenge due to their morphological similarities. Traditional methods of bloodstain pattern analysis (BPA) rely significantly on the expertise of professiona...
Forensic Sciences Blood Stains Machine Learning Convolutional Neural Networks Image Processing, Computer-Assisted Pattern Recognition, Automated Humans Neural Networks, Computer
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Robust long-tailed recognition with distribution-aware adversarial example generation.

Neural networks : the official journal of the International Neural Network Society Dec 10, 2024
Confronting adversarial attacks and data imbalances, attaining adversarial robustness under long-tailed distribution presents a challenging problem. Adversarial training (AT) is a conventional solution for enhancing adversarial robustness, which gene...
Machine Learning Algorithms Pattern Recognition, Automated Humans Neural Networks, Computer
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A multi-memory-augmented network with a curvy metric method for video anomaly detection.

Neural networks : the official journal of the International Neural Network Society Dec 9, 2024
Anomaly detection task in video mainly refers to identifying anomalous events that do not conform to the learned normal patterns in the inferring phase. However, the Euclidean metric used in the learning and inferring phase by the most of the existin...
Deep Learning Video Recording Neural Networks, Computer Algorithms Pattern Recognition, Automated Memory Humans
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Self-supervised learning via VICReg enables training of EMG pattern recognition using continuous data with unclear labels.

Computers in biology and medicine Dec 4, 2024
In this study, we investigate the application of self-supervised learning via pre-trained Long Short-Term Memory (LSTM) networks for training surface electromyography pattern recognition models (sEMG-PR) using dynamic data with transitions. While lab...
Humans Female Supervised Machine Learning Signal Processing, Computer-Assisted Pattern Recognition, Automated Adult Electromyography Male
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