AIMC Journal:
IEEE transactions on neural networks and learning systems

Showing 411 to 420 of 780 articles

A Local-Global Dual-Stream Network for Building Extraction From Very-High-Resolution Remote Sensing Images.

IEEE transactions on neural networks and learning systems Feb 28, 2022
Buildings constitute one of the most important landscapes in remote sensing (RS) images and have been broadly analyzed in a wide range of applications from urban planning to other socioeconomic studies. As very-high-resolution (VHR) RS imagery become...
Neural Networks, Computer Remote Sensing Technology
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Detection of Backdoors in Trained Classifiers Without Access to the Training Set.

IEEE transactions on neural networks and learning systems Feb 28, 2022
With wide deployment of deep neural network (DNN) classifiers, there is great potential for harm from adversarial learning attacks. Recently, a special type of data poisoning (DP) attack, known as a backdoor (or Trojan), was proposed. These attacks d...
Neural Networks, Computer Algorithms Knowledge
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Optimal Synchronization of Unidirectionally Coupled FO Chaotic Electromechanical Devices With the Hierarchical Neural Network.

IEEE transactions on neural networks and learning systems Feb 28, 2022
This article solves the problem of optimal synchronization, which is important but challenging for coupled fractional-order (FO) chaotic electromechanical devices composed of mechanical and electrical oscillators and electromagnetic filed by using a ...
Neural Networks, Computer Algorithms Computer Simulation Feedback Nonlinear Dynamics
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SMGEA: A New Ensemble Adversarial Attack Powered by Long-Term Gradient Memories.

IEEE transactions on neural networks and learning systems Feb 28, 2022
Deep neural networks are vulnerable to adversarial attacks. More importantly, some adversarial examples crafted against an ensemble of source models transfer to other target models and, thus, pose a security threat to black-box applications (when att...
Neural Networks, Computer Algorithms Learning Memory, Long-Term
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Output Feedback Control of Micromechanical Gyroscopes Using Neural Networks and Disturbance Observer.

IEEE transactions on neural networks and learning systems Feb 28, 2022
This article addresses the output feedback control of micromechanical (MEMS) gyroscopes using neural networks (NNs) and disturbance observer (DOB). For the unmeasured system states, the state observer and the high gain observer are constructed. The a...
Neural Networks, Computer Algorithms Computer Simulation Feedback Nonlinear Dynamics
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Event-Triggered Output Feedback Synchronization of Master-Slave Neural Networks Under Deception Attacks.

IEEE transactions on neural networks and learning systems Feb 28, 2022
The problem of event-triggered synchronization of master-slave neural networks is investigated in this article. It is assumed that both communication channels from the sensor to controller and from controller to actuator are subject to stochastic dec...
Neural Networks, Computer Feedback Communication Deception Markov Chains
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A Review of Single-Source Deep Unsupervised Visual Domain Adaptation.

IEEE transactions on neural networks and learning systems Feb 3, 2022
Large-scale labeled training datasets have enabled deep neural networks to excel across a wide range of benchmark vision tasks. However, in many applications, it is prohibitively expensive and time-consuming to obtain large quantities of labeled data...
Neural Networks, Computer Machine Learning Adaptation, Physiological
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Configurable Graph Reasoning for Visual Relationship Detection.

IEEE transactions on neural networks and learning systems Jan 5, 2022
Visual commonsense knowledge has received growing attention in the reasoning of long-tailed visual relationships biased in terms of object and relation labels. Most current methods typically collect and utilize external knowledge for visual relations...
Neural Networks, Computer Algorithms Semantics Knowledge Recognition, Psychology
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Dual-Path Deep Fusion Network for Face Image Hallucination.

IEEE transactions on neural networks and learning systems Jan 5, 2022
Along with the performance improvement of deep-learning-based face hallucination methods, various face priors (facial shape, facial landmark heatmaps, or parsing maps) have been used to describe holistic and partial facial features, making the cost o...
Humans Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Face Facial Recognition Hallucinations
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Disentangled Representation Learning for Multiple Attributes Preserving Face Deidentification.

IEEE transactions on neural networks and learning systems Jan 5, 2022
Face is one of the most attractive sensitive information in visual shared data. It is an urgent task to design an effective face deidentification method to achieve a balance between facial privacy protection and data utilities when sharing data. Most...
Neural Networks, Computer Learning Data Anonymization Semantics Face
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