AIMC Topic: Pattern Recognition, Automated

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DMGNet: Depth mask guiding network for RGB-D salient object detection.

Neural networks : the official journal of the International Neural Network Society Sep 24, 2024
Though depth images can provide supplementary spatial structural cues for salient object detection (SOD) task, inappropriate utilization of depth features may introduce noisy or misleading features, which may greatly destroy SOD performance. To addre...
Humans Neural Networks, Computer Pattern Recognition, Automated Depth Perception Algorithms Image Processing, Computer-Assisted
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Machine Learning-Based Gesture Recognition Glove: Design and Implementation.

Sensors (Basel, Switzerland) Sep 23, 2024
In the evolving field of human-computer interaction (HCI), gesture recognition has emerged as a critical focus, with smart gloves equipped with sensors playing one of the most important roles. Despite the significance of dynamic gesture recognition, ...
User-Computer Interface Hand Pattern Recognition, Automated Machine Learning Gestures Humans Neural Networks, Computer
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Touchformer: A Transformer-Based Two-Tower Architecture for Tactile Temporal Signal Classification.

IEEE transactions on haptics Sep 19, 2024
Haptic temporal signal recognition plays an important supporting role in robot perception. This paper investigates how to improve classification performance on multiple types of haptic temporal signal datasets using a Transformer model structure. By ...
Algorithms Models, Theoretical Pattern Recognition, Automated Touch Robotics Humans Touch Perception
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Improving Human Activity Recognition With Wearable Sensors Through BEE: Leveraging Early Exit and Gradient Boosting.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 18, 2024
Early-exiting has recently provided an ideal solution for accelerating activity inference by attaching internal classifiers to deep neural networks. It allows easy activity samples to be predicted at shallower layers, without executing deeper layers,...
Deep Learning Machine Learning Pattern Recognition, Automated Bees Wearable Electronic Devices Humans Algorithms Human Activities Neural Networks, Computer
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Bio-inspired deep neural local acuity and focus learning for visual image recognition.

Neural networks : the official journal of the International Neural Network Society Sep 17, 2024
In the field of computer vision and image recognition, enabling the computer to discern target features while filtering out irrelevant ones poses a challenge. Drawing insights from studies in biological vision, we find that there is a local visual ac...
Image Processing, Computer-Assisted Visual Acuity Neural Networks, Computer Visual Perception Humans Algorithms Pattern Recognition, Automated Pattern Recognition, Visual Deep Learning
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Mitigating the Concurrent Interference of Electrode Shift and Loosening in Myoelectric Pattern Recognition Using Siamese Autoencoder Network.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 17, 2024
The objective of this work is to develop a novel myoelectric pattern recognition (MPR) method to mitigate the concurrent interference of electrode shift and loosening, thereby improving the practicality of MPR-based gestural interfaces towards intell...
Pattern Recognition, Automated Electromyography Electrodes Male Humans Young Adult Algorithms Female Gestures Neural Networks, Computer Adult Reproducibility of Results Support Vector Machine
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Object and spatial discrimination makes weakly supervised local feature better.

Neural networks : the official journal of the International Neural Network Society Sep 12, 2024
Local feature extraction plays a crucial role in numerous critical visual tasks. However, there remains room for improvement in both descriptors and keypoints, particularly regarding the discriminative power of descriptors and the localization precis...
Humans Space Perception Supervised Machine Learning Pattern Recognition, Automated Neural Networks, Computer Algorithms
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LiteFer: An Approach Based on MobileViT Expression Recognition.

Sensors (Basel, Switzerland) Sep 10, 2024
Facial expression recognition using convolutional neural networks (CNNs) is a prevalent research area, and the network's complexity poses obstacles for deployment on devices with limited computational resources, such as mobile devices. To address the...
Facial Expression Algorithms Pattern Recognition, Automated Humans Neural Networks, Computer
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A Combined CNN Architecture for Speech Emotion Recognition.

Sensors (Basel, Switzerland) Sep 6, 2024
Emotion recognition through speech is a technique employed in various scenarios of Human-Computer Interaction (HCI). Existing approaches have achieved significant results; however, limitations persist, with the quantity and diversity of data being mo...
Emotions Pattern Recognition, Automated Humans Deep Learning Speech Algorithms Databases, Factual Neural Networks, Computer
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Improved region proposal network for enhanced few-shot object detection.

Neural networks : the official journal of the International Neural Network Society Sep 3, 2024
Despite significant success of deep learning in object detection tasks, the standard training of deep neural networks requires access to a substantial quantity of annotated images across all classes. Data annotation is an arduous and time-consuming e...
Humans Deep Learning Image Processing, Computer-Assisted Pattern Recognition, Automated Neural Networks, Computer Algorithms
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