Modified Locally Linear Embedding with Affine Transformation
Sign Up to like & getrecommendations! Published in 2017 at "National Academy Science Letters"
DOI: 10.1007/s40009-017-0536-7
Abstract: Dimensional reduction is a primary way to analyze and work with complex and large amount of multidimensional data by avoiding the effect of curse of dimensionality. This problem of constructing low dimensional embedding gains importance… read more here.
Keywords: affine transformation; modified locally; embedding affine; linear embedding ... See more keywords
Graph regularized locally linear embedding for unsupervised feature selection
Sign Up to like & getrecommendations! Published in 2022 at "Pattern Recognition"
DOI: 10.1016/j.patcog.2021.108299
Abstract: Abstract As one of the important dimensionality reduction techniques, unsupervised feature selection (UFS) has enjoyed amounts of popularity over the last few decades, which can not only improve learning performance, but also enhance interpretability and… read more here.
Keywords: feature subspace; linear embedding; feature selection; feature ... See more keywords
Linear embedding of nonlinear dynamical systems and prospects for efficient quantum algorithms
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DOI: 10.1063/5.0040313
Abstract: The simulation of large nonlinear dynamical systems, including systems generated by discretization of hyperbolic partial differential equations, can be computationally demanding. Such systems are important in both fluid and kinetic computational plasma physics. This motivates… read more here.
Keywords: system; embedding nonlinear; physics; linear embedding ... See more keywords
Fault Detection Based on Modified Kernel Semi-Supervised Locally Linear Embedding
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2017.2767698
Abstract: In this paper, a novel approach to fault detection for nonlinear processes is proposed. It is based on a manifold learning called modified kernel semi-supervised local linear embedding. Local linear embedding (LLE) is widely applied… read more here.
Keywords: fault detection; linear embedding; modified kernel; semi supervised ... See more keywords
Adaptive Locally Linear Embedding for Node Localization in Sensor Networks
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2017.2681100
Abstract: Received signal strength indicator (RSSI) gives a rough initial measure of the inter-node distances at low cost without the need of additional equipment or complexity. This necessitates the need for a mechanism to obtain accurate… read more here.
Keywords: adaptive locally; node localization; linear embedding; locally linear ... See more keywords
Pan-Sharpening via Deep Locally Linear Embedding Residual Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3168593
Abstract: The goal of pan-sharpening tasks is to fuse panchromatic (PAN) images and low spatial-resolution (LR) multi-spectral (MS) images for the purpose of aggregating texture and spectral information. Although traditional embedding-based pan-sharpening methods achieve competitive results,… read more here.
Keywords: network; linear embedding; embedding residual; pan ... See more keywords
Deep Spectral Clustering With Regularized Linear Embedding for Hyperspectral Image Clustering
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3267070
Abstract: The past decade has witnessed the rapid development of deep learning techniques, especially for large-scale and complex datasets. However, it is still a noteworthy problem in dealing with unsupervised hyperspectral image (HSI) segmentation since inefficiency… read more here.
Keywords: linear embedding; deep spectral; regularized linear; spectral clustering ... See more keywords
Feature Genes Selection Using Supervised Locally Linear Embedding and Correlation Coefficient for Microarray Classification
Sign Up to like & getrecommendations! Published in 2018 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2018/5490513
Abstract: The selection of feature genes with high recognition ability from the gene expression profiles has gained great significance in biology. However, most of the existing methods have a high time complexity and poor classification performance.… read more here.
Keywords: supervised locally; locally linear; linear embedding; correlation coefficient ... See more keywords
Dual-weight local linear embedding algorithm based on adaptive neighborhood
Sign Up to like & getrecommendations! Published in 2022 at "Transactions of the Institute of Measurement and Control"
DOI: 10.1177/01423312221131848
Abstract: Local linear embedding (LLE) algorithm mainly depends on local structures to extract significant features; however, the local structures are sensitive to the selection of neighborhood parameters. To solve this problem, the dual-weight local linear embedding… read more here.
Keywords: local linear; linear embedding; dual weight; algorithm ... See more keywords