Qiang Ji 
Probabilistic Graphical Models for Computer Vision. [EPUB ebook] 

Ủng hộ

Probabilistic Graphical Models for Computer Vision introduces probabilistic graphical models (PGMs) for computer vision problems and teaches how to develop the PGM model from training data. This book discusses PGMs and their significance in the context of solving computer vision problems, giving the basic concepts, definitions and properties. It also provides a comprehensive introduction to well-established theories for different types of PGMs, including both directed and undirected PGMs, such as Bayesian Networks, Markov Networks and their variants. – Discusses PGM theories and techniques with computer vision examples- Focuses on well-established PGM theories that are accompanied by corresponding pseudocode for computer vision- Includes an extensive list of references, online resources and a list of publicly available and commercial software- Covers computer vision tasks, including feature extraction and image segmentation, object and facial recognition, human activity recognition, object tracking and 3D reconstruction

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Ngôn ngữ Anh ● định dạng EPUB ● ISBN 9780128034958 ● Nhà xuất bản Elsevier Science ● Được phát hành 2019 ● Có thể tải xuống 3 lần ● Tiền tệ EUR ● TÔI 6989734 ● Sao chép bảo vệ Adobe DRM
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