AIMC Journal:
IEEE transactions on neural networks and learning systems

Showing 361 to 370 of 780 articles

Memorizing Structure-Texture Correspondence for Image Anomaly Detection.

IEEE transactions on neural networks and learning systems Jun 1, 2022
This work focuses on image anomaly detection by leveraging only normal images in the training phase. Most previous methods tackle anomaly detection by reconstructing the input images with an autoencoder (AE)-based model, and an underlying assumption ...
Humans Neural Networks, Computer Image Processing, Computer-Assisted
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Semisupervised Training of Deep Generative Models for High-Dimensional Anomaly Detection.

IEEE transactions on neural networks and learning systems Jun 1, 2022
Abnormal behaviors in industrial systems may be early warnings on critical events that may cause severe damages to facilities and security. Thus, it is important to detect abnormal behaviors accurately and timely. However, the anomaly detection probl...
Neural Networks, Computer Learning Supervised Machine Learning
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Reservoir Memory Machines as Neural Computers.

IEEE transactions on neural networks and learning systems Jun 1, 2022
Differentiable neural computers (DNCs) extend artificial neural networks with an explicit memory without interference, thus enabling the model to perform classic computation tasks, such as graph traversal. However, such models are difficult to train,...
Neural Networks, Computer Computers Language Memory
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Multiresolution Reservoir Graph Neural Network.

IEEE transactions on neural networks and learning systems Jun 1, 2022
Graph neural networks are receiving increasing attention as state-of-the-art methods to process graph-structured data. However, similar to other neural networks, they tend to suffer from a high computational cost to perform training. Reservoir comput...
Neural Networks, Computer Algorithms
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Neuromorphic Time-Multiplexed Reservoir Computing With On-the-Fly Weight Generation for Edge Devices.

IEEE transactions on neural networks and learning systems Jun 1, 2022
The human brain has evolved to perform complex and computationally expensive cognitive tasks, such as audio-visual perception and object detection, with ease. For instance, the brain can recognize speech in different dialects and perform other cognit...
Neural Networks, Computer Computers Brain
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Vertebrae Labeling via End-to-End Integral Regression Localization and Multi-Label Classification Network.

IEEE transactions on neural networks and learning systems Jun 1, 2022
Accurate identification and localization of the vertebrae in CT scans is a critical and standard pre-processing step for clinical spinal diagnosis and treatment. Existing methods are mainly based on the integration of multiple neural networks, and mo...
Neural Networks, Computer Algorithms Tomography, X-Ray Computed Spine
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Reachable Set Estimation of Delayed Markovian Jump Neural Networks Based on an Improved Reciprocally Convex Inequality.

IEEE transactions on neural networks and learning systems Jun 1, 2022
This brief investigates the reachable set estimation problem of the delayed Markovian jump neural networks (NNs) with bounded disturbances. First, an improved reciprocally convex inequality is proposed, which contains some existing ones as its specia...
Neural Networks, Computer Computer Simulation
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Brain-Inspired Experience Reinforcement Model for Bin Packing in Varying Environments.

IEEE transactions on neural networks and learning systems May 2, 2022
Bin-packing problem (BPP) is a typical combinatorial optimization problem whose decision-making process is NP-hard. This article examines BPPs in varying environments, where random number and shape of items are to be packed in different instances. Th...
Humans Neural Networks, Computer Brain Learning Cognition Reinforcement, Psychology
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Multisample Online Learning for Probabilistic Spiking Neural Networks.

IEEE transactions on neural networks and learning systems May 2, 2022
Spiking neural networks (SNNs) capture some of the efficiency of biological brains for inference and learning via the dynamic, online, and event-driven processing of binary time series. Most existing learning algorithms for SNNs are based on determin...
Neural Networks, Computer Algorithms Brain Neurons Education, Distance
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An MVMD-CCA Recognition Algorithm in SSVEP-Based BCI and Its Application in Robot Control.

IEEE transactions on neural networks and learning systems May 2, 2022
This article proposes a novel recognition algorithm for the steady-state visual evoked potentials (SSVEP)-based brain-computer interface (BCI) system. By combining the advantages of multivariate variational mode decomposition (MVMD) and canonical cor...
Humans Neural Networks, Computer Algorithms Robotics Electroencephalography Brain-Computer Interfaces Evoked Potentials, Visual Photic Stimulation
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