As an example of the categorical apparatus of pseudo algebras over 2-theories, we show that pseudo algebras over the 2theory of categories can be viewed as pseudo double categories with folding or as appropriate 2-functors into bicategories. Foldings are equivalent to connection pairs, and also to thin structures if the vertical and horizontal morphisms coincide. In a sense, the squares of a do...

I n extracting a polynomial surface patch nearan intensity or range discontinuity, a robust estimator must tolerate not only the truly random bad data (“random outliers”), but also the coherently structured points ((bseudo outliers”) that belong to a different surface. To characterize the performance of least median of squares, M-estimators, Hough transforms, RANSAC, and MINPRAN on data contain...

Recently, this journal has published a paper which dealt with basis expansion model (BEM) based least-squares (LS) channel estimation in doubly-selective orthogonal frequency-division multiplexing (DS-OFDM) systems. The least-squares channel estimator computes the pseudo-inverse of a channel estimation matrix. For the existence of the pseudo-inverse, it is necessary that the channel estimation ...

a rapid, sensitive and versatile kinetic method is presented for the simultaneous spectrophotometric determination of iodide and iodate by partial least-squares regression (pls) using original and derivate data named as absorbance and rate data. the method is based on the catalytic effect of the cited anions on the reaction rate between ce(iv) and as(iii) in 2 mol l?1 sulfuric acid medium. the ...

Regression models are constructed to predict glucose and lactate concentrations from near-infrared spectra in culture media. The partial least-squares (PLS) regression technique is employed, we investigate the improvement predictive ability of PLS that can be achieved using wavelength selection transfer learning. We combine Boruta, a nonlinear variable method based on random forests, with impor...

SUMMARY In this manuscript we present a methodology for reducing the impact of the hosting room reflections in sound field rendering applications based on loudspeaker arrays. The problem is formulated in a least-squares sense. Since matrices involved in the problem are ill-conditioned, it is important to devise a suitable technique for the regularisation of the pseudo-inverse. In this work we a...