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Face Recognition for Real Time Application

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Kernel Learning Algorithms for Face Recognition

Kernel Learning Algorithms for Face Recognition covers the framework of kernel based face recognition. This book discusses the advanced;

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Face Detection and Recognition

Face detection and recognition are the nonintrusive biometrics of choice in many security applications. Examples of their use include;

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Face Detection and Recognition

Face detection and recognition are the nonintrusive biometrics of choice in many security applications. Examples of their use include;

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Face Recognition using Vector Quantization

techniques used in today's era. A face recognition system is a computer application for automatically identifying or verifying a person from a;

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Face and Facial Expression Recognition from Real World Videos

Recognition from Real World Videos in conjunction with the 22nd International Conference on Pattern Recognition held in Stockholm, Sweden, in August;

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Video Analytics. Face and Facial Expression Recognition and Audience Measurement

International Workshop on Face and Facial Expression Recognition from Real World Videos, FFER 2016, held at the 23rd International Conference on Pattern;

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Conformal Prediction for Reliable Machine Learning

prediction in any real-world pattern recognition application, including risk-sensitive applications such as medical diagnosis, face recognition, and;

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Video Analytics. Face and Facial Expression Recognition

This book constitutes the proceedings of the Third Workshop on Face and Facial Expression Recognition from Real World Videos, FFER 2018;

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Real-Time Automatic Emotion Recognition from Speech

. Therefore, this book investigates real-time automatic emotion recognition from acoustic features of speech in several experiments for suitable audio;

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Face Recognition using PCA &LDA Algorithm

Over the last decades, numerous face recognition methods have been proposed to overcome the problem limited by the current technology;

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3D Face Modeling, Analysis and Recognition

3D Face Modeling, Analysis and Recognition presents methodologies for analyzing shapes of facial surfaces, develops computational tools for;

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Face Recognition

approach with criminological applications. The book covers * The methodological and philosophical basis of research in face recognition;

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Template Matching Techniques In Computer Vision

techniques of wide applicability, which has proved to be particularly effective for face recognition applications. Using examples from face;

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Handbook of Face Recognition

components for designing operational face recognition systems. Background, modern techniques, recent results, and challenges and future directions;

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Cognitive and Computational Aspects of Face Recognition

previous research on face recognition had been phenomena driven. Recent empirical work together with the application of computational, mathematical;

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Cognitive and Computational Aspects of Face Recognition

previous research on face recognition had been phenomena driven. Recent empirical work together with the application of computational, mathematical;

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Face Recognition

control systems. Topics discussed in this compilation include two-dimensional principal component analysis algorithms for face recognition;

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Computer Vision for the Web

, custom object, and gesture recognition for an online application, then this book is ideal for you. Prior understanding of the JavaScript language;

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Unconstrained Face Recognition

Face recognition has been actively studied over the past decade and continues to be a big research challenge. Just recently;

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Correlation Pattern Recognition

Correlation is a robust and general technique for pattern recognition and is used in many applications, such as automatic target;

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Correlation Pattern Recognition

Correlation is a robust and general technique for pattern recognition and is used in many applications, such as automatic target;

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Ethiopian face Recognition System Across Ages

applications like security, access control, passport verification, human computer interaction, surveillance, etc. Face recognition systems have been;

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Face Recognition

, gender, age and species. What factors might account for this type of bias in face recognition? This collection considers the issue of how our;

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Face Recognition

, gender, age and species. What factors might account for this type of bias in face recognition? This collection considers the issue of how our;

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Perspectives on Pattern Recognition

for real time applications and quantitative bioimage analysis using pattern recognition.;

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Biometric Recognition

This book constitutes the refereed proceedings of the 10th Chinese Conference on Biometric Recognition, CCBR 2015, held in Tianjin, China;

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