Abstract This research aims to obtain information about the qualitative and quantitative characteristics of genetic diversity 20 chili genotypes analyze their similarity as basis for selecting parental crossbreeds in peatland assembly varieties. was conducted peatlands Tuah Karya Village, Tampan District, Pekanbaru City, Riau Province analyzed at Plant Breeding Laboratory Faculty Agriculture, U...

Principal Component Analysis (PCA) is a well-established technique in image processing and pattern recognition. Incremental PCA and robust PCA are two interesting problems with numerous potential applications. However, these two issues have only been separately addressed in the previous studies. In this paper, we present a novel algorithm for incremental and robust PCA by seamlessly integrating...

Diffusion kurtosis has become an important magnetic resonance imaging (MRI) modality for non-invasively mapping the microstructural variations in living tissues. Theoretically, spatial resolution of diffusion (DKI) can be significantly improved by acquiring data at ultra-high fields (UHF, ≤ 7 Tesla) because increased signal-to-noise ratios. However, issues such as susceptibility artefacts and r...

We consider the problem of outlier rejection in single subspace learning. Classical approaches work with a direct representation of the subspace, and are thus efficient when the subspace dimension is small. Our approach works with a dual representation of the subspace and hence aims to find its orthogonal complement; as such it is particularly suitable for high-dimensional subspaces. We pose th...

Chemometric method such as cluster and principal component analyses applied for alkanes C6-C10 detection in the air. To increase piezosensor selectivity to analytes L-apiezon is applied as active modifier. It is shown that processing of piezosensor signals to analytes with cluster and principal component analyses allows to refer (to identify) substance to the appropriate alkane (hexane, heptane...