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IEEE1mon
Choosing Parameters of Kernel Subspace LDA for Recognition of Face Images Under Pose and Illumination Variations - IEEE Xplore
This paper addresses the problem of automatically tuning multiple kernel parameters for the kernel-based linear discriminant analysis (LDA) method. The kernel approach has been proposed to solve face ...
Science Daily6mon
Mapping the nanoscale architecture of functional materials
Researchers have pioneered a new technique called X-ray linear dichroic orientation tomography, which probes the orientation of a material's building blocks at the nanoscale in three-dimensions ...
GitHub1y
kernel image bigger than KERNEL_IMAGE_SIZE · Issue #15490 · openwrt/openwrt - GitHub
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Live Science1y
Neutrino map of the galaxy is 1st view of the Milky Way in 'anything other than light' - Live Science
Scientists at the IceCube Neutrino Observatory have used 60,000 neutrinos to create the first map of the Milky Way made with matter and not light. When you purchase through links on our site, we ...
Frontiers2y
Kernel principal component analysis and differential non-linear feature extraction of pesticide residues on fruit surface based on surface-enhanced Raman spectroscopy - Frontiers
When linear mapping may not get the desired results, KPCA has more advantages than PCA. Xin et al. ... Commonly used kernel functions are Linear Kernel ... (PCA) for hyperspectral image classification ...
Frontiers3y
SpatialMap: Spatial Mapping of Unmeasured Gene Expression Profiles in Spatial Transcriptomic Data Using Generalized Linear Spatial Models - Frontiers
FIGURE 1.Overview of SpatialMap. (A) Pipeline of SpatialMap. SpatialMap takes tissue-paired image-based spatial data (contain about 1,000 genes) and scRNA-seq data (contain about 20,000 genes) as ...