We consider the problem of detecting fish in underwater video. We adopt a modeling framework, where the shape of each fish is assumed to be multivariate Gaussian. Mixture modeling is used to classify noise and varying numbers of fish. The mixture parameters are estimated using an EM algorithm that incorporates an Akaike information criterion to simultaneously estimate the number of components i...

Accelerating [HHC03]. acceleration [GS94]. Accept [CR98]. Accept-Reject [CR98]. Access [SH03]. Accompaniment [Rap01]. Accounting [HDM02]. Accurate [CJ02]. Acoustic [BMO01]. Adaptive [Bil00, DZ99, EHW03, GK97, Gou98, Gri99, MS03, Oeh98, PTP03, Pit02, Zha97]. Additive [EM02, KLH99, OR99, ST99]. Adjusted [DIR02]. After [Hub99]. Aided [HIT99]. Akaike [ST99]. Algorithm [CB01, CCFM01, GJ97, Glu00, HL...

Submit Manuscript | http://medcraveonline.com Abbreviations: ECoG: Electro Cortico Graphic; BdSEM: Bayesian Differential Structural Equation Modeling; ODEs: Ordinary Differential Equations; ROI: Region Of Interest; fMRI: functional Magnetic Resonance Imaging; MCMC: Markov Chain Monte Carlo; FDA: Functional Data Analysis; STG: Superior Temporal Gyrus; PostSTG: Posterior STG; MidSTG: Middle STG; ...

1. Introduction The problem of estimating the dimensionality of a model occurs in various forms in applied statistics. There is estimating the number of factor in factor analysis, estimating the degree of a polynomial describing the data, selecting the variables to be introduced in a multiple regression equation, estimating the order of an AR or MA time series model, and so on. In factor analys...

A popular model selection approach for generalized linear mixed-effects models is the Akaike information criterion, or AIC. Among others, [5] pointed out the distinction between the marginal and conditional inference depending on the focus of research. The conditional AIC was derived for the linear mixed-effects model which was later generalized by [4]. We show that the similar strategy extends...

background : gastric cancer is the one of the most prevalent reason of cancer-related death in the world. survival of patients after surgery involves identifying risk factors. there are various models to detect the effect of risk factors on patients’ survival. the present study aims at evaluating these models. methods : data from 330 gastric cancer patients diagnosed at the iran cancer institut...

This report describes a line linker based on tools of Frequentist Statistics: Chi-square signi cance testing and the Akaike Information Criterion. The line linker has been implemented as an AVS module and is available as freeware. This report describes the basic facts about the distributed linker and its use. c 1996 Carnegie Mellon University This research is supported in part by NASA under Gra...

This paper describes experiments with a genetic algorithm that combines parsimony with a novel gene regulation mechanism to carry out model selection. In effect, the GA orchestrates a competition among a community of models. Parsimony is implemented via the Akaike Information Criterion, and gene regulation uses a modulo function to overload the gene values. The approach is shown to be successfu...

BACKGROUND Dyspnea or perceived exertion during exercise is most commonly measured using Borg or visual analog scales, created for use in adults. In contrast, pictorial scales have been promoted for children due to skepticism concerning applicability of the said scales in pediatrics. We sought to validate our newly created, pictorial Dalhousie Dyspnea and Perceived Exertion Scales in adult popu...

By fitting dynamic contrast-enhanced MRI data to an appropriate pharmacokinetic model, quantitative physiological parameters can be estimated. In this study, we compare four different models by applying four statistical measures to assess their ability to describe dynamic contrast-enhanced MRI data obtained in 28 human breast cancer patient sets: the chi-square test (χ(2)), Durbin-Watson statis...