AIMC Topic: Algorithms

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Dynamic semantic-geometric guidance and structure transfer network for cross-scene hyperspectral image classification.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Recently, cross-scene hyperspectral image classification(HSIC) via domain adaptation is drawing increasing attention. However, most existing methods either directly align the source domain and target domain without fully mining of SD information, or ...
Image Processing, Computer-Assisted Neural Networks, Computer Semantics Hyperspectral Imaging Algorithms Humans
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Accelerated EPR imaging using deep learning denoising.

Magnetic resonance in medicine Jul 1, 2025
PURPOSE: Trityl OXO71-based pulse electron paramagnetic resonance imaging (EPRI) is an excellent technique to obtain partial pressure of oxygen (pO) maps in tissues. In this study, we used deep learning techniques to denoise 3D EPR amplitude and pO m...
Phantoms, Imaging Fibrosarcoma Electron Spin Resonance Spectroscopy Deep Learning Imaging, Three-Dimensional Humans Oxygen Image Processing, Computer-Assisted Algorithms Signal-To-Noise Ratio Mice Animals
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Self-attention fusion and adaptive continual updating for multimodal federated learning with heterogeneous data.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Federated learning (FL) enables collaborative model training without direct data sharing, facilitating knowledge exchange while ensuring data privacy. Multimodal federated learning (MFL) is particularly advantageous for decentralized multimodal data,...
Humans Neural Networks, Computer Machine Learning Algorithms Attention Federated Learning
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Enhancing few-shot image classification through learnable multi-scale embedding and attention mechanisms.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
In the context of few-shot classification, the goal is to train a classifier using a limited number of samples while maintaining satisfactory performance. However, traditional metric-based methods exhibit certain limitations in achieving this objecti...
Pattern Recognition, Automated Machine Learning Algorithms Image Processing, Computer-Assisted Attention Humans Neural Networks, Computer
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Task-augmented cross-view imputation network for partial multi-view incomplete multi-label classification.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
In real-world scenarios, multi-view multi-label learning often encounters the challenge of incomplete training data due to limitations in data collection and unreliable annotation processes. The absence of multi-view features impairs the comprehensiv...
Algorithms Humans Neural Networks, Computer
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Attribute-guided feature fusion network with knowledge-inspired attention mechanism for multi-source remote sensing classification.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Land use and land cover (LULC) classification is a popular research area in remote sensing. The information of single-modal data is insufficient for accurate classification, especially in complex scenes, while the complementarity of multi-modal data ...
Attention Neural Networks, Computer Algorithms Remote Sensing Technology
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Neural networks trained by weight permutation are universal approximators.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
The universal approximation property is fundamental to the success of neural networks, and has traditionally been achieved by training networks without any constraints on their parameters. However, recent experimental research proposed a novel permut...
Neural Networks, Computer Algorithms Humans
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Improving transferability of adversarial examples via statistical attribution-based attacks.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Adversarial attacks are significant in uncovering vulnerabilities and assessing the robustness of deep neural networks (DNNs), offering profound insights into their internal mechanisms. Feature-level attacks, a potent approach, craft adversarial exam...
Algorithms Deep Learning Humans Neural Networks, Computer Computer Security
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Probabilistic memory auto-encoding network for abnormal behavior detection in surveillance video.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Abnormal behavior detection in surveillance video, as one of the essential functions in the intelligent surveillance system, plays a vital role in anti-terrorism, maintaining stability, and ensuring social security. Aiming at the problem of extremely...
Memory Algorithms Humans Models, Statistical Neural Networks, Computer Probability Video Recording
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SHFormer: Dynamic spectral filtering convolutional neural network and high-pass kernel generation transformer for adaptive MRI reconstruction.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Attention Mechanism (AM) selectively focuses on essential information for imaging tasks and captures relationships between regions from distant pixel neighborhoods to compute feature representations. Accelerated magnetic resonance image (MRI) reconst...
Neural Networks, Computer Algorithms Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Brain Convolutional Neural Networks
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