LAUSR

About LAUSR
Donate
Contact Us

Follow us:

You are not signed in:

Sign Up!


   Articles with "adaptive weighted" as a keyword



Adaptive weighted 61‐QAM based on geometric shaping in coherent optical communication utilizing K‐Means algorithm

Sign Up to like & get
recommendations! 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 & get
recommendations! 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 & get
recommendations! 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

An adaptive weighted-average Kriging method applied to monitoring of freshwater ecosystems

Sign Up to like & get
recommendations! Published in 2024 at "Marine and Freshwater Research"

DOI: 10.1071/mf24003

Abstract: Context The prediction of freshwater quality is important for detecting pollution risks and assessing changes in freshwater ecosystems. As a high-precision interpolation method, Kriging was able to predict freshwater quality by using previously monitored data.… read more here.

Keywords: freshwater quality; method; adaptive weighted; freshwater ecosystems ... See more keywords

Adaptive Weighted CNN Features Integration for Correlation Filter Tracking

Sign Up to like & get
recommendations! 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 & get
recommendations! 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

Double Layer Robust 2DPCA: Joint Flexible Cut Norm and Adaptive Weighted Learning for Small Sample Size Image Recognition

Sign Up to like & get
recommendations! Published in 2025 at "IEEE Transactions on Consumer Electronics"

DOI: 10.1109/tce.2025.3602258

Abstract: Recently, many 2D principal component analysis (2DPCA) methods with different distance metric mechanisms have been successfully proposed and applied to improve the robustness of information perception based on image data. However, these methods ignore the… read more here.

Keywords: layer; layer robust; double layer; adaptive weighted ... See more keywords

Adaptive Weighted Losses With Distribution Approximation for Efficient Consistency-Based Semi-Supervised Learning

Sign Up to like & get
recommendations! 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 & get
recommendations! 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

An Adaptive Weighted Metric Learning Network Based on Fractional Domain Decoupling for Hyperspectral Change Detection

Sign Up to like & get
recommendations! Published in 2025 at "IEEE Transactions on Neural Networks and Learning Systems"

DOI: 10.1109/tnnls.2025.3586714

Abstract: Hyperspectral image change detection (HSI-CD) possesses strong capabilities in exploring subtle changes in land cover. Due to sensor noise and imaging conditions, different semantic land covers in the same spatial location may exhibit similar spectral… read more here.

Keywords: adaptive weighted; domain decoupling; metric learning; fractional domain ... See more keywords

AW-GBGAE: An Adaptive Weighted Graph Autoencoder Based on Granular-Balls for General Data Clustering

Sign Up to like & get
recommendations! Published in 2025 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"

DOI: 10.1109/tpami.2025.3596615

Abstract: In the current scenario, a vast amount of unlabeled high-dimensional data exhibits intrinsic relationships, making it suitable for information extraction through graph-based clustering methods. However, these datasets often lack edge structure information and contain numerous… read more here.

Keywords: autoencoder; gbgae adaptive; adaptive weighted; granular balls ... See more keywords