Adaptive weighted 61‐QAM based on geometric shaping in coherent optical communication utilizing K‐Means algorithm
Sign Up to like & getrecommendations! Published in 2021 at "Microwave and Optical Technology Letters"
DOI: 10.1002/mop.32842
Abstract: A novel adaptive weighted geometric‐shaped (GS) 61 quadrature amplitude modulation (QAM) constellation is proposed in order to mitigate the nonlinear damage and increase the transmission distance. By introducing an adaptive weighting factor related to Kerr… read more here.
Keywords: system; optical communication; communication; utilizing means ... See more keywords
Image segmentation by correlation adaptive weighted regression
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.06.046
Abstract: Abstract Image segmentation aims to partition an image into several disjoint regions with each region corresponding to a visual meaningful object. It is a fundamental problem in image processing and computer vision. Recently, subspace clustering… read more here.
Keywords: image; adaptive weighted; correlation adaptive; image segmentation ... See more keywords
Multiclass discriminant analysis via adaptive weighted scheme
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.10.070
Abstract: Abstract Under homoscedastic Gaussian assumption, it is demonstrated that conventional LDA is formulated by maximizing the weighted arithmetic mean of the Kullback–Leibler (KL) divergences between different classes. However, the calculation of projection directions is dominated… read more here.
Keywords: multiclass discriminant; analysis; via adaptive; analysis via ... See more keywords
Adaptive Weighted CNN Features Integration for Correlation Filter Tracking
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2922494
Abstract: Visual object tracking is an active and challenging research topic in computer vision, as objects often undergo significant appearance changes caused by occlusion, deformation, and background clutter. Although convolutional neural network (CNN)-based trackers have achieved… read more here.
Keywords: adaptive weighted; integration; feature; weighted cnn ... See more keywords
Development of an Adaptive and Weighted Model Predictive Control Algorithm for Autonomous Driving With Disturbance Estimation and Grey Prediction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3163309
Abstract: This paper presents an adaptive and weighted model predictive control (MPC) algorithm for autonomous driving with disturbance estimation and prediction. Unexpected and unpredictable disturbances in the real world limit the performance of MPC. To overcome… read more here.
Keywords: control; adaptive weighted; prediction; disturbance estimation ... See more keywords
Adaptive Weighted Losses With Distribution Approximation for Efficient Consistency-Based Semi-Supervised Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3186041
Abstract: Recent semi-supervised learning (SSL) algorithms such as FixMatch achieve state-of-the-art performance by exploiting consistency regularization and entropy minimization techniques. However, many consistency-based SSL algorithms extract pseudo-labels from unlabeled data through a fixed threshold and ignore… read more here.
Keywords: consistency; weighted losses; semi supervised; consistency based ... See more keywords
Reliability Analysis of Large-Scale Adaptive Weighted Networks
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2019.2926193
Abstract: Disconnecting impaired or suspicious nodes and rewiring to those reliable, adaptive networks have the potential to inhibit cascading failures, such as DDoS attack and computer virus. The weights of disconnected links, indicating the workload of… read more here.
Keywords: cascading failures; adaptive weighted; weighted networks; model ... See more keywords
Hyperspectral Image Classification Using Adaptive Weighted Quaternion Zernike Moments
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2022.3144954
Abstract: Hyperspectral image classification (HSI) has been widely used in many fields. However, image noise, atmospheric conditions, material distribution and other factors seriously degrade the classification accuracy of HSIs. To alleviate these issues, a new approach,… read more here.
Keywords: classification; quaternion; adaptive weighted; image classification ... See more keywords
Adaptive Weighted Strategy Based Integrated Surrogate Models for Multiobjective Evolutionary Algorithm
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/5227975
Abstract: Although the integrated model has good convergence ability, it is difficult to solve the multimodal problem and noisy problem due to the lack of uncertainty evaluation. Radial basis function model performs best for different degrees… read more here.
Keywords: integrated surrogate; adaptive weighted; based integrated; weighted strategy ... See more keywords
Non-iterative phase hologram generation with adaptive weighted constraints for color holographic display.
Sign Up to like & getrecommendations! Published in 2022 at "Applied optics"
DOI: 10.1364/ao.465577
Abstract: To provide better reconstruction quality, it takes more time for iterative algorithms, especially when multiple holograms need to be computed. A non-iterative method for calculating a phase hologram with adaptive weighted constraints is proposed, which… read more here.
Keywords: weighted constraints; adaptive weighted; non iterative; phase hologram ... See more keywords
Adaptive Weighted Multi-Discriminator CycleGAN for Underwater Image Enhancement
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Marine Science and Engineering"
DOI: 10.3390/jmse7070200
Abstract: In this paper, we propose a novel underwater image enhancement method. Typical deep learning models for underwater image enhancement are trained by paired synthetic dataset. Therefore, these models are mostly effective for synthetic image enhancement… read more here.
Keywords: weighted multi; adaptive weighted; image enhancement; image ... See more keywords