期刊： IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021; 32 (1)
This article studies an optimal event-triggered control (ETC) problem of nonlinear continuous-time systems subject to asymmetric control constraints. ......
期刊： IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021; 32 (4)
In this article, we address the problem of visual question generation (VQG), a challenge in which a computer is required to generate meaningful questi......
期刊： IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021; 32 (4)
Graph-based technique is widely used in projection, clustering, and classification tasks. In this article, we propose a novel and solid framework, nam......
期刊： IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021; 32 (4)
A single latent factor (LF)-dependent, nonnegative, and multiplicative update (SLF-NMU) learning algorithm is highly efficient in building a nonnegati......
期刊： IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021; 32 (5)
The use of RGB-D information for salient object detection (SOD) has been extensively explored in recent years. However, relatively few efforts have be......
期刊： IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021; 32 (5)
This article is concerned with the synchronization control problem for a class of discrete-time dynamical networks with mixed delays and switching top......
期刊： IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021; 32 (6)
Recent works on video salient object detection have demonstrated that directly transferring the generalization ability of image-based models to video ......
期刊： IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021; 32 (8)
Multiview clustering (MVC) has recently received great interest due to its pleasing efficacy in combining the abundant and complementary information t......
期刊： IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021; 32 (4)
With the rapid development from traditional machine learning (ML) to deep learning (DL) and reinforcement learning (RL), dialog system equipped with l......
期刊： IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021; 32 (5)
We introduce a new deep detail network architecture with grouped multiscale dilated convolutions to sharpen images contain multiband spectral informat......
期刊： IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021; 32 (8)
This article focuses on the design of an adaptive event-triggered sampled-data control (ETSDC) mechanism for synchronization of reaction-diffusion neu......
期刊： IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021; 32 (8)
In this article, we aim at developing neighborhood-based neural models for link prediction. We design a novel multispace neighbor attention mechanism ......
期刊： IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021; 32 (9)
In the field of computer vision, without sufficient labeled images, it is challenging to train an accurate model. However, through visual adaptation f......
期刊： IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021; 32 (4)
The clustering ensemble has emerged as an important extension of the classical clustering problem. It provides an elegant framework to integrate multi......
期刊： IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021; 32 (4)
The article considers the impulsive synchronization for inertial neural networks with unbounded delay and actuator saturation via sampled-data control......
