Discriminative locally linear mapping for medical diagnosis
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-7064-4
Abstract: Medical diagnosis based on machine learning has received growing interest in recent years. However, traditional classification algorithms often fail to appropriately deal with medical datasets because of their high dimensionality. Manifold learning is a branch… read more here.
Keywords: discriminative locally; linear mapping; medical diagnosis; mapping medical ... See more keywords
Modified Locally Linear Embedding with Affine Transformation
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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
Two-stage extended recursive gradient algorithm for locally linear RBF-based autoregressive models with colored noises.
Sign Up to like & getrecommendations! Published in 2022 at "ISA transactions"
DOI: 10.1016/j.isatra.2022.02.011
Abstract: A novel parameter identification method for locally linear radial basis function-based autoregressive models in presence of colored noises is proposed in this paper. Taking advantage of the global nonlinear and local linear structural characteristics of… read more here.
Keywords: locally linear; gradient; extended recursive; recursive gradient ... See more keywords
Locally linear constraint based optimization model for material decomposition.
Sign Up to like & getrecommendations! Published in 2017 at "Physics in medicine and biology"
DOI: 10.1088/1361-6560/aa8e13
Abstract: Dual spectral computed tomography (DSCT) has a superior material distinguishability than the conventional single spectral computed tomography (SSCT). However, the decomposition process is an illposed problem, which is sensitive to noise. Thus, the decomposed image… read more here.
Keywords: image; optimization model; constraint; locally linear ... See more keywords
Adaptive Locally Linear Embedding for Node Localization in Sensor Networks
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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
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