AIMC Topic: Pattern Recognition, Automated

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EFCRFNet: A novel multi-scale framework for salient object detection.

PloS one May 22, 2025
Salient Object Detection (SOD) is a fundamental task in computer vision, aiming to identify prominent regions within images. Traditional methods and deep learning-based models often encounter challenges in capturing crucial information in complex sce...
Humans Algorithms Pattern Recognition, Automated Deep Learning Image Processing, Computer-Assisted
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Prototype-guided and dynamic-aware video anomaly detection.

Neural networks : the official journal of the International Neural Network Society May 21, 2025
Anomaly detection in intelligent surveillance system is an important and challenging task, which commonly learns a model describing normal patterns via frame reconstruction or prediction and assumes that anomalies deviate form the learned normal mode...
Neural Networks, Computer Algorithms Humans Pattern Recognition, Automated Deep Learning Video Recording
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3D Micro-Expression Recognition Based on Adaptive Dynamic Vision.

Sensors (Basel, Switzerland) May 18, 2025
In the research on intelligent perception, dynamic emotion recognition has been the focus in recent years. Small samples and unbalanced data are the main reasons for the low recognition accuracy of current technologies. Inspired by circular convoluti...
Facial Expression Algorithms Imaging, Three-Dimensional Emotions Pattern Recognition, Automated Humans Neural Networks, Computer
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GCapNet-FSD: A heterogeneous Graph Capsule Network for Few-Shot object Detection.

Neural networks : the official journal of the International Neural Network Society May 16, 2025
Few-shot object detection is a challenging task that aims to quickly adapt detectors to detect novel objects with only a minimal number of annotated examples. Although promising results have been achieved, performance still declines significantly whe...
Neural Networks, Computer Pattern Recognition, Automated Humans
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Multi-modal sentiment recognition with residual gating network and emotion intensity attention.

Neural networks : the official journal of the International Neural Network Society Apr 25, 2025
Multimodal emotion recognition focuses on the prediction of emotions using text, visual and acoustic modalities, and some results have been generated in this field. Previous approaches fall short in two aspects, one is the processing of complementary...
Humans Neural Networks, Computer Electroencephalography Attention Pattern Recognition, Automated Algorithms Emotions
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A multi-filter deep transfer learning framework for image-based autism spectrum disorder detection.

Scientific reports Apr 24, 2025
Autism Spectrum Disorder (ASD) affects approximately [Formula: see text] of the global population and is characterized by difficulties in social communication and repetitive or obsessive behaviors. Early detection of autism is crucial, as it allows t...
Male Deep Learning Humans Autism Spectrum Disorder Image Processing, Computer-Assisted Female Neural Networks, Computer Pattern Recognition, Automated
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Intelligent recognition of human activities using deep learning techniques.

PloS one Apr 24, 2025
Recognition of Human Actions (HAR) Portrays a crucial significance in various applications due to its ability for analyzing behaviour of humans within videos. This research investigates HAR in Red, Green, and Blue, or RGB videos using frameworks for ...
Pattern Recognition, Automated Human Activities Deep Learning Humans Video Recording Algorithms
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Repetitive training enhances the pattern recognition capability of cultured neural networks.

PLoS computational biology Apr 22, 2025
Cultured neural networks in vitro have demonstrated the biocomputing capability to recognize patterns. However, the underlying mechanisms behind information processing and pattern recognition remain less understood. Here, we developed an in vitro neu...
Nerve Net Microelectrodes Pattern Recognition, Physiological Neurons Pattern Recognition, Automated Computational Biology Rats Neural Networks, Computer Cells, Cultured Animals
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Enhancing forensic shoeprint analysis: Application of the Shoe-MS algorithm to challenging evidence.

Science & justice : journal of the Forensic Science Society Apr 21, 2025
Quantitative assessment of pattern evidence is a challenging task, particularly in the context of forensic investigations where the accurate identification of sources and classification of items in evidence are critical. Emerging deep learning approa...
Forensic Sciences Algorithms Shoes Humans Databases, Factual Deep Learning Image Processing, Computer-Assisted Pattern Recognition, Automated
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Deep learning-based recognition model of football player's technical action behavior using PCA-LBP algorithm.

Scientific reports Apr 21, 2025
Football is a sport that requires sportsmen to have both physical strength and physical features. It must consider the distinctions between individuals and then provide targeted training. Football players can perform better on the field with targeted...
Humans Athletic Performance Deep Learning Algorithms Athletes Soccer Pattern Recognition, Automated Principal Component Analysis Male
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