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Age Estimation

Age Estimation: A Multidisciplinary Approach is the only reference in the field covering all techniques and methods involving;

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Automatic Age Estimation from Face Images

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Remodeling Forensic Skeletal Age

frameworks and conceptual approaches surrounding forensic age estimation and the current state of the field. The book also includes a series;

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Mechanisms Linking Aging, Diseases and Biological Age Estimation

mitochondrial mutations; describing their role in aging and diseases; and their application to age-at-death estimation in forensic sciences in greater;

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Mechanisms Linking Aging, Diseases and Biological Age Estimation

mitochondrial mutations; describing their role in aging and diseases; and their application to age-at-death estimation in forensic sciences in greater;

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Primary Tooth Development in Infancy

for human dentitions, forensic importance of direct and indirect measuring techniques, dental identification and age estimation from teeth;

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Age Estimation in the Living

This book summarizes and explains the main approaches to age estimation in the living, defining when a parameter may be of use and raising;

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A Laboratory Manual for Forensic Anthropology

significance, scene processing methods, forensic taphonomy, skeletal processing and sampling, sex estimation, ancestry estimation, age estimation;

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Wildlife Demography

Wildlife Demography compiles the multitude of available estimation techniques based on sex and age data, and presents these varying;

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Video Analytics. Face and Facial Expression Recognition and Audience Measurement

detection; saliency prediction; classification of facial expressions; face recognition; face verification; age estimation; super resolution; pose;

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Grid-Based Nonlinear Estimation and Its Applications

Grid-based Nonlinear Estimation and its Applications presents new Bayesian nonlinear estimation techniques developed in the last two;

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Grid-based Nonlinear Estimation and Its Applications

Grid-based Nonlinear Estimation and its Applications presents new Bayesian nonlinear estimation techniques developed in the last two;

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Estimation of Spatial Panels

well as dynamic models. Estimation of Spatial Panels provides some recent developments on the specification and estimation of such models. The;

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Nonlinear Lp-Norm Estimation

Complete with valuable FORTRAN programs that help solve nondifferentiable nonlinear LtandLo.-norm estimation problems, this important;

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Nonlinear Lp-Norm Estimation

Complete with valuable FORTRAN programs that help solve nondifferentiable nonlinear LtandLo.-norm estimation problems, this important;

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Software Project Effort Estimation

Software effort estimation is one of the oldest and most important problems in software project management, and thus today there are a;

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Principles and Applications of RELAX

The multiple signal demixing and parameter estimation problems that result from the impacts of background noise and interference are issues;

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Bioarchaeology

of a given age unit within a population. The estimation of age in bioarchaeology actually refers to an approximation of skeletal or biological;

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Multisensor Fusion Estimation Theory and Application

This book focuses on the basic theory and methods of multisensor data fusion state estimation and its application. It consists of four;

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Introduction to Cost Estimation

Introduction to Cost Estimation is een boek van Subhendu Moulik;

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Modelling and Parameter Estimation of Dynamic Systems

Parameter estimation is the process of using observations from a system to develop mathematical models that adequately represent the system;

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An Engineering Approach to Optimal Control and Estimation Theory

Optimal control and optimal estimation are methods used to estimate unknown variables such as velocity and altitude, and are essential to;

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Small Area Population Estimation

Small Area Population Estimation is een boek van Shuo-Sheng Wu;

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Density Ratio Estimation in Machine Learning

of systems that learn. This book introduces theories, methods and applications of density ratio estimation, which is a newly emerging paradigm in the;

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Density Ratio Estimation in Machine Learning

of systems that learn. This book introduces theories, methods and applications of density ratio estimation, which is a newly emerging paradigm in the;

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Face Recognition

; principal component analysis (PCA) and artificial immune networks in face recognition; multi-class learning facial age estimation and forensic face;

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Estimation in Case of Endogenous Selection with Application to Wage Regression

Estimation in Case of Endogenous Selecti;

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