期刊： NEURAL PROCESSING LETTERS, 2021; 53 (3)
Symbolic regression is to search the space of mathematical expressions to find a model that best fits a given dataset. As genetic programming (GP) wit......
期刊： NEURAL PROCESSING LETTERS, 2021; 53 (3)
Aiming at the problem of electromagnetic interference signal separation, we propose a single-channel blind source separation method based on complete ......
期刊： NEURAL PROCESSING LETTERS, 2021; 53 (4)
Detecting temporal actions in long and untrimmed videos is a challenging and important field in computer vision. Generating high-quality proposals is ......
期刊： NEURAL PROCESSING LETTERS, 2021; 53 (3)
Sparse representation methods based on l(2) norm regularization have attracted much attention due to its low computational cost and competitive perfor......
期刊： NEURAL PROCESSING LETTERS, 2021; 53 (4)
A 1-0 Bg-RRT algorithm is proposed to reduce computational time and complexity, even in complex environments. Different from Rapidly-exploring Random ......
期刊： NEURAL PROCESSING LETTERS, 2021; 53 (3)
In this study, image segmentation technology is utilized for segmentation of tea leaves and tender buds and deep learning technology is introduced for......
期刊： NEURAL PROCESSING LETTERS, 2021; 53 (4)
Video-deblurring has achieved excellent results by using deep learning approaches. How to capture the dynamic spatio-temporal information in the video......
期刊： NEURAL PROCESSING LETTERS, 2021; 53 (4)
With the rapid development of Internet information technology, image data is explosively growing. How to quickly and effectively acquire and manage th......
期刊： NEURAL PROCESSING LETTERS, 2021; 53 (3)
Recently, the vector of locally aggregated descriptor (VLAD) has shown its great effectiveness in diverse computer vision tasks including image retrie......
期刊： NEURAL PROCESSING LETTERS, 2021; 53 (3)
In recent years, matrix-valued optimization algorithms have been studied to enhance the computational performance of vector-valued optimization algori......
期刊： NEURAL PROCESSING LETTERS, 2021; 53 (4)
In this paper, the adaptive synchronization control and synchronization-based parameters identification method for time-varying delayed fractional cha......
期刊： NEURAL PROCESSING LETTERS, 2021; 53 (3)
Many classical feature extraction and dimensionality reduction algorithms, such as linear algorithm principal component analysis (PCA) and nonlinear a......
期刊： NEURAL PROCESSING LETTERS, 2021; 53 (4)
This paper proposed a coupled model of effective feature extraction and optimized classifier, which can overcome the existing problems of coal and gas......
期刊： NEURAL PROCESSING LETTERS, 2021; 53 (3)
This paper aims at estimating the domain of attraction of discrete-time impulsive neural networks with impulse input saturation by using Lyapunov func......
期刊： NEURAL PROCESSING LETTERS, 2021; 53 (3)
Most of the existing visual object trackers are based on deep convolutional feature maps, but there have fewer works about finding new features for tr......
