Linear discriminant analysis (LDA) is a classical statistical approach for dimensionality reduction and classification. In many cases, the projection direction of the classical and extended LDA methods is not considered optimal for special applications. Herein we combine the Partial Least Squares (PLS) method with LDA algorithm, and then propose two improved methods, named LDA-PLS and ex-LDA-PL...

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The advantageous employment of multimode fibres for beam delivery in laser Doppler anemometers (LDA) is presented. Multimode fibres allow the transfer of significantly higher power into the LDA measurement volume and need lower alignment effort compared to the usually employed singlemode fibres. Powerful laser diodes can now be applied for LDA set-ups, enabling sensitive velocity measurements o...

The study of the strength of correlations in NaxCoO2 is extended to the x=0 end of the phase diagram, where Mott insulating behavior has been widely anticipated. The inclusion of correlation as modeled by the LDA +U approach leads to a Mott transition in the ag subband if U Uc=2.5 eV. Thus, U smaller than Uc is required to model the metallic, nonmagnetic CoO2 compound reported by Tarascon and c...

The study of the strength of correlations in NaxCoO2 is extended to the x = 0 end of the phase diagram where Mott insulating behavior has been widely anticipated. Inclusion of correlation as modeled by the LDA+U approach leads to a Mott transition in the ag subband if U≥Uc=2.5 eV. Thus U smaller than Uc is required to model the metallic, nonmagnetic CoO2 compound reported by Tarascon and cowork...

Principal Component Analysis (PCA) plus Linear Discriminant Analysis (LDA) (PCA+LDA) and LDA/QR are both two-stage methods that deal with the small sample size (SSS) problem in traditional LDA. When applied to face recognition under varying lighting conditions and different facial expressions, neither method may work robustly due to limited number of training samples for each class in the train...

The families of high-temperature superconductors recently welcomed a new member: hole-doped nickelate ${\mathrm{Nd}}_{0.8}{\mathrm{Sr}}_{0.2}{\mathrm{NiO}}_{2}$ with $\ensuremath{\sim}15\phantom{\rule{0.28em}{0ex}}\mathrm{K}$ transition temperature. To understand its emergent low-energy behaviors and experimental properties, an immediate key question is whether the superconducting hole carriers...

Abstract The density-functional theory is widely used to predict the physical properties of materials. However, it usually fails for strongly correlated A popular solution use Hubbard correction treat electronic states. Unfortunately, values U and J parameters are initially unknown, they can vary from one material another. In this semi-empirical study, we explore parameter space a group iron-ba...