An improvement to linear regression classification for face recognition
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-018-0862-1
Abstract: Linear regression classification (LRC) has attracted a great amount of attention owning to its promising performance in face recognition. However, its performance will dramatically decline in the scenario of limited training samples per class, particularly… read more here.
Keywords: regression classification; face; face recognition; linear regression ... See more keywords
Linear Regression Classification in the Quaternion and Reduced Biquaternion Domains
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3140682
Abstract: Linear regression classification (LRC) has proven to be a successful recognition tool in recent years. LRC depends on using the least square algorithm to get the solution of the linear regression equation. To improve the… read more here.
Keywords: linear regression; regression; biquaternion domains; reduced biquaternion ... See more keywords
A Piecewise Linear Regression and Classification Algorithm With Application to Learning and Model Predictive Control of Hybrid Systems
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2022.3183036
Abstract: This article proposes an algorithm for solving multivariate regression and classification problems using piecewise linear predictors over a polyhedral partition of the feature space. The resulting algorithm that we call piecewise affine regression and classification… read more here.
Keywords: control; regression; regression classification; piecewise linear ... See more keywords
Modal-Regression-Based Broad Learning System for Robust Regression and Classification.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3256999
Abstract: A novel neural network, namely, broad learning system (BLS), has shown impressive performance on various regression and classification tasks. Nevertheless, most BLS models may suffer serious performance degradation for contaminated data, since they are derived… read more here.
Keywords: learning system; modal regression; regression; broad learning ... See more keywords
Unified ICH quantification and prognosis prediction in NCCT images using a multi-task interpretable network
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2023.1118340
Abstract: With the recent development of deep learning, the regression, classification, and segmentation tasks of Computer-Aided Diagnosis (CAD) using Non-Contrast head Computed Tomography (NCCT) for spontaneous IntraCerebral Hematoma (ICH) have become popular in the field of… read more here.
Keywords: task framework; task; regression classification; multi task ... See more keywords