Within the scope of three-dimensional brain imaging we propose an inter-individual fusion scheme to register functional activations relatively to anatomical cortical structures, the sulci. This approach is local and non-linear. It relies on a statistical sulci shape model accounting for the inter-individual variability of a population of subjects, and providing deformation modes relatively to a...

the aim of the present study was the estimation of (co) variance components and genetic parameters for body weight of moghani sheep, using random regression models based on b-splines functions. the data set included 9165 body weight records from 60 to 360 days of age from 2811 moghani sheep, collected between 1994 to 2013 from jafar-abad animal research and breeding institute, ardabil province,...

Features of linguistic tone contours are important factors that shape the distinct melodic characteristics of different genres of Chinese opera. In Beijing opera, the presence of a two-dialectal tone system makes the tone-melody relationship more complex. In this paper, we propose a novel data-driven approach to analyze syllable-sized tone-pitch contour similarity in a corpus of Beijing Opera (...

We present the explicit inverse of a class of symmetric tridiagonal matrices which is almost Toeplitz, except that the first and last diagonal elements are different from the rest. This class of tridiagonal matrices are of special interest in complex statistical models which uses the first order autoregression to induce dependence in the covariance structure, for instance, in econometrics or sp...

SHORT ABSTRACT: The paper is a contribution to the problem of producing sensor-specific seabed maps, that describe the morphological features of each different region in the area considered. It applies the Minimum Description Length (MDL) principle to identify the dimensionality of a statistical shape model that describes them. Our shape model combines the finite-dimensional representation of c...

A comparison of several statistical techniques common in species distribution modeling was developed during this study to evaluate and obtain the statistical model most accurate to predict the distribution of different forest tree species (in our case presence/absence data) according environmental variables. During the process we have developed maximum entropy (MaxEnt), classification and regre...

When applying nonparametric regression methods, the researcher is interested in estimating the relationship between one dependent variable, Y , and one or several covariates, X1, . . . , Xq. We discuss here the situation with one covariate, X (the case with multiple covariates is addressed in the references provided below). The relationship between X and Y can be expressed as the conditional ex...

| A critical component of spline smoothing is the choice of knots, especially for curves with varying shapes and frequencies in its domain. We consider a two-stage knot selection scheme for adaptively tting splines to data subject to noise. A potential set of knots is chosen based on information from certain wavelet decompositions with the intention to place more points where the curve shows ra...

Vowel Spaces within and across Language Communities Andrew R. Plummer, Lucie Ménard , Benjamin Munson, Mary E. Beckman Dept. of Linguistics, The Ohio State University, Columbus, OH, USA département de linguistique, Université du Québec à Montréal, Montréal, Canada Dept. of Speech-Language-Hearing Sciences, University of Minnesota, Minneapolis, MN, USA {plummer,mbeckman}@ling.ohio-state.edu, men...

This article proposes a flexible tracker which can estimate motions and deformations of 3D objects in images by considering their appearances as nonrigid surfaces. In this approach, a flexible model is built by matching local features (key-points) over training sequences and by learning the deformations of a spline based model. A statistical model captures the variations of object appearance ca...