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The CSU Face Identification Evaluation System provides standard face recognition algorithms and standard statistical methods for comparing face recognition algorithms. The system includes standardized image pre-processing software, three distinct face recognition algorithms, analysis software to study algorithm performance, and Unix shell scripts to run(More)
The CSU Face Identification Evaluation System provides standard face recognition algorithms and standard statistical methods for comparing face recognition algorithms. This document describes Version 5.0 the Colorado State University (CSU) Face Identification Evaluation System. The system includes standardized image pre-processing software, four distinct(More)
The semidirect product of pseudovarieties of semigroups with an order-computable pseudovariety is investigated. The essential tool is the natural representation of the corresponding relatively free profinite semigroups and how it transforms implicit signatures. Several results concerning the behavior of the operation with respect to various kinds of(More)
The CSU Face Identification Evaluation System includes standardized image preprocessing software, four distinct face recognition algorithms, analysis tools to study algorithm performance, and Unix shell scripts to run standard experiments. All code is written in ANSII C. The four algorithms provided are principle components analysis (PCA), a.k.a eigenfaces,(More)
The veriication of timed systems is extremely important, but also extremely dii-cult. Several methods have been proposed to assist in this task, including extensions to symbolic model checking. One possible use of model checking to analyze timed systems is by modeling passage of time as the number of taken transitions and applying quantitative algorithms to(More)
The CSU Face Identification Evaluation System provides standard face recognition algorithms and standard statistical methods for comparing face recognition algorithms. This document describes Version 4.0 the Col-orado State University (CSU) Face Identification Evaluation System. The system includes standardized image pre-processing software, three distinct(More)
OBJECTIVE This study was aimed at analysing the association between socioeconomic indicators and adolescents' physical activity and health-related fitness. METHODS The study involved 716 adolescents from both genders whose age ranged from 10 to 18 years-old (46.8% male) who answered a questionnaire for estimating their habitual physical activity,(More)
The objective of this study was to describe the semantic and conceptual equivalences of the National College Health Assessment II (NCHA II). The original version of the NCHA II was translated into Portuguese and back-translated into English. A committee of experts analyzed the different versions of the questionnaire. The version of the translated NCHA II(More)