Analysis of Recognition Algorithms using Linear, Generalized Linear, and Generalized Linear Mixed Models
نویسندگان
چکیده
This paper discusses the design and use of linear, generalized linear, and generalized linear mixed models for evaluation and comparison of human face recognition algorithms. These models are introduced in a cohesive framework, and their benefits (compared to simple one-way descriptive comparisons) are reviewed. Several example analyses involving algorithm configuration and subject covariates illustrate the importance of using models that allow one to control for confounding variables, to estimate all important effects including interactions, and to isolate extraneous sources of variation.
منابع مشابه
Parameter Estimation in Spatial Generalized Linear Mixed Models with Skew Gaussian Random Effects using Laplace Approximation
Spatial generalized linear mixed models are used commonly for modelling non-Gaussian discrete spatial responses. We present an algorithm for parameter estimation of the models using Laplace approximation of likelihood function. In these models, the spatial correlation structure of data is carried out by random effects or latent variables. In most spatial analysis, it is assumed that rando...
متن کاملBayesian Inference for Spatial Beta Generalized Linear Mixed Models
In some applications, the response variable assumes values in the unit interval. The standard linear regression model is not appropriate for modelling this type of data because the normality assumption is not met. Alternatively, the beta regression model has been introduced to analyze such observations. A beta distribution represents a flexible density family on (0, 1) interval that covers symm...
متن کاملSpatial structure of breast cancer using Poisson generalized linear mixed model in Iran
Background: Breast cancer is one of the most common diseases in women and causes more deaths rather than other cancers. The increasing trend of breast cancer in Iran makes clear the need of extensive breast cancer research in this area. Some studies showed that in the variety countries and even in the different areas in one country has different risk of breast cancer incidence and this is a rea...
متن کاملLinear Resolutions of Powers of Generalized Mixed Product Ideals
Let L be the generalized mixed product ideal induced by a monomial ideal I. In this paper we compute powers of the genearlized mixed product ideals and show that Lk have a linear resolution if and only if Ik have a linear resolution for all k. We also introduce the generalized mixed polymatroidal ideals and prove that powers and monomial localizations of a generalized mixed polymatroidal ideal...
متن کاملThe Negative Binomial Distribution Efficiency in Finite Mixture of Semi-parametric Generalized Linear Models
Introduction Selection the appropriate statistical model for the response variable is one of the most important problem in the finite mixture of generalized linear models. One of the distributions which it has a problem in a finite mixture of semi-parametric generalized statistical models, is the Poisson distribution. In this paper, to overcome over dispersion and computational burden, finite ...
متن کامل