AIMC Journal:
IEEE transactions on neural networks and learning systems

Showing 481 to 490 of 780 articles

Multitask Learning for Estimating Multitype Cardiac Indices in MRI and CT Based on Adversarial Reverse Mapping.

IEEE transactions on neural networks and learning systems Feb 4, 2021
The estimation of multitype cardiac indices from cardiac magnetic resonance imaging (MRI) and computed tomography (CT) images attracts great attention because of its clinical potential for comprehensive function assessment. However, the most exiting ...
Heart Humans Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted Machine Learning Tomography, X-Ray Computed Magnetic Resonance Imaging Reproducibility of Results
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Quaternion Projection Rule for Rotor Hopfield Neural Networks.

IEEE transactions on neural networks and learning systems Feb 4, 2021
A rotor Hopfield neural network (RHNN) is an extension of a complex-valued Hopfield neural network (CHNN) and has excellent noise tolerance. The RHNN decomposition theorem says that an RHNN decomposes into a CHNN and a symmetric CHNN. For a large num...
Humans Neural Networks, Computer Machine Learning Normal Distribution Algorithms Feedback Computer Simulation Image Processing, Computer-Assisted
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Dynamical Channel Pruning by Conditional Accuracy Change for Deep Neural Networks.

IEEE transactions on neural networks and learning systems Feb 4, 2021
Channel pruning is an effective technique that has been widely applied to deep neural network compression. However, many existing methods prune from a pretrained model, thus resulting in repetitious pruning and fine-tuning processes. In this article,...
Pattern Recognition, Automated Data Compression Artificial Intelligence Deep Learning Humans Algorithms Computer Systems Neural Networks, Computer Databases, Factual Image Processing, Computer-Assisted
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Random Sketching for Neural Networks With ReLU.

IEEE transactions on neural networks and learning systems Feb 4, 2021
Training neural networks is recently a hot topic in machine learning due to its great success in many applications. Since the neural networks' training usually involves a highly nonconvex optimization problem, it is difficult to design optimization a...
Algorithms Least-Squares Analysis Linear Models Humans Neural Networks, Computer Machine Learning
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Deep Coattention-Based Comparator for Relative Representation Learning in Person Re-Identification.

IEEE transactions on neural networks and learning systems Feb 4, 2021
Person re-identification (re-ID) favors discriminative representations over unseen shots to recognize identities in disjoint camera views. Effective methods are developed via pair-wise similarity learning to detect a fixed set of region features, whi...
Databases, Factual Reproducibility of Results Deep Learning Software Algorithms Automated Facial Recognition Biometric Identification Image Processing, Computer-Assisted Benchmarking Attention Humans Neural Networks, Computer Artificial Intelligence
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Quaternion-Valued Twin-Multistate Hopfield Neural Networks With Dual Connections.

IEEE transactions on neural networks and learning systems Feb 4, 2021
Dual connections (DCs) utilize the noncommutativity of quaternions and improve the noise tolerance of quaternion Hopfield neural networks (QHNNs). In this article, we introduce DCs to twin-multistate QHNNs. We conduct computer simulations to investig...
Humans Image Processing, Computer-Assisted Neurons Algorithms Neural Networks, Computer Computer Simulation Machine Learning Reproducibility of Results
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Adaptive Neural Control for a Class of Nonlinear Multiagent Systems.

IEEE transactions on neural networks and learning systems Feb 4, 2021
This article studies the adaptive neural controller design for a class of uncertain multiagent systems described by ordinary differential equations (ODEs) and beams. Three kinds of agent models are considered in this study, i.e., beams, nonlinear ODE...
Brain-Computer Interfaces Uncertainty Algorithms Feedback Nonlinear Dynamics Neural Networks, Computer
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Robust Environmental Sound Recognition With Sparse Key-Point Encoding and Efficient Multispike Learning.

IEEE transactions on neural networks and learning systems Feb 4, 2021
The capability for environmental sound recognition (ESR) can determine the fitness of individuals in a way to avoid dangers or pursue opportunities when critical sound events occur. It still remains mysterious about the fundamental principles of biol...
Sound Neural Networks, Computer Pattern Recognition, Automated Machine Learning Environment Algorithms Humans Brain Models, Neurological Neurons
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Global and Local Knowledge-Aware Attention Network for Action Recognition.

IEEE transactions on neural networks and learning systems Jan 4, 2021
Convolutional neural networks (CNNs) have shown an effective way to learn spatiotemporal representation for action recognition in videos. However, most traditional action recognition algorithms do not employ the attention mechanism to focus on essent...
Movement Reproducibility of Results Machine Learning Pattern Recognition, Automated Computer Systems Humans Benchmarking Neural Networks, Computer Knowledge Algorithms Attention Image Processing, Computer-Assisted Video Recording Databases, Factual
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Evolving Deep Neural Networks via Cooperative Coevolution With Backpropagation.

IEEE transactions on neural networks and learning systems Jan 4, 2021
Deep neural networks (DNNs), characterized by sophisticated architectures capable of learning a hierarchy of feature representations, have achieved remarkable successes in various applications. Learning DNN's parameters is a crucial but challenging t...
Deep Learning Models, Neurological Neurons Neural Networks, Computer Algorithms
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