Radial basis function kernelSpherical dataIn this paper, we consider clustering based on the kernel principal component analysis (KPCA) for high-dimension, low-sample-size (HDLSS) data. We give theoretical reasons why the Gaussian kernel is effective for clustering high-dimensional data. In ...
A method for adaptively calculating a size of Gaussian kernel in a crowd counting system. The steps of the method comprise: dividing a crowd density map into a plurality of rectangular areas at equal intervals; calculating a k nearest human head average distance estimated value at the current ...
In particular, we investigate asymptotic properties of the BC-SVM having the Gaussian kernel and compare them with the ones having the linear kernel. We show that the performance of the BC-SVM is influenced by the scale parameter involved in the Gaussian kernel. We discuss a choice of the ...
Gaussian Kernel Density Estimator for Voxel Size Selection in Atom Probe Tomographydoi:10.1017/s1431927613006958K. KaluskarK. RajanCambridge University Press (CUP)
Kernel,Gaussian processes,Transmitters,Bayes methods,Predictive models,Receivers,StandardsThe performance of cooperative vehicular applications is tightly dependent on the reliability of the underneath Vehicle-to-Everything (V2X) communication technology. V2X standards, such as Dedicated Short-Range ...
R0 as a function of the field size for gaussian dispersal kernelMikaberidze, AlexeyMundt, Christopher CBonhoeffer, Sebastian