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This authoritative text/reference presents a comprehensive review of algorithms and techniques for face recognition (FR), with an;
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Face recognition is one of the most attractive research area in the field of pattern recognition and computer vision due to its interesting;
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This highly anticipated new edition provides a comprehensive account of face recognition research and technology, spanning the full range;
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The two-volume set LNCS 7324/7325 constitutes the refereed proceedings of the 9th International Conference on Image and Recognition, ICIAR;
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The two-volume set LNCS 7324/7325 constitutes the refereed proceedings of the 9th International Conference on Image and Recognition, ICIAR;
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vision problems. This edited volume includes chapter contributions from leading figures in the field of computer vision who are applying;
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vision problems. This edited volume includes chapter contributions from leading figures in the field of computer vision who are applying;
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Applied Signal and Image Processing: Multidisciplinary Advancements highlights the growing multidisciplinary nature of signal and image;
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, and provides comparison with popular CNN-based architectures for face recognition; examines deep learning for state-of-the-art latent;
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Kernel Learning Algorithms for Face Recognition covers the framework of kernel based face recognition. This book discusses the advanced;
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approach with criminological applications. The book covers * The methodological and philosophical basis of research in face recognition;
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; Gastrointestinal Issues and Autism Spectrum Disorder; The Impact of Applied Behavior Analysis to Address Mealtime Behaviors of Concern Among Individuals;
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provides an up-to-date textbook on the use of imaging modalities across the spectrum of movement disorders and dementias. The book brings together;
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of visual recognition within the framework of cognitive neuroscience, and remains the authoritative work on the subject. This long-awaited second;
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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 are the nonintrusive biometrics of choice in many security applications. Examples of their use include;
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Over the last decades, numerous face recognition methods have been proposed to overcome the problem limited by the current technology;
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Although most people are good at face recognition, we are particularly good at recognizing the faces of individuals who share our race;
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Although most people are good at face recognition, we are particularly good at recognizing the faces of individuals who share our race;
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Face recognition has been actively studied over the past decade and continues to be a big research challenge. Just recently;
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Although the history of computer-aided face recognition stretches back to the 1960s, automatic face recognition remains an unsolved problem;
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are organized according to the following topics: real-world applications; face, pose, and action recognition; object detection and tracking;
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Emerging Trends in Image Processing, Computer Vision, and Pattern Recognition discusses the latest in trends in imaging science which;
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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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of imaging modalities across the spectrum of movement disorders and dementias. Over the last decades, advances in neuroimaging tools have played a;
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This issue of Radiologic Clinics of North America focuses on Imaging of the Reproductive Age Female, and is edited by Dr. Liina Poder;
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Medical imaging is one of the heaviest funded biomedical engineering research areas. The second edition of Pattern Recognition and Signal;
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