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From the foreword by Thomas Huang: "e;During the past decade, researchers in computer vision have found that probabilistic machine learning methods are extremely powerful. This …
The conference proceedings of:International Conference on Industrial Electronics, Technology & Automation (IETA 05)International Conference on Telecommunications and Networking …
Surveillance systems have become increasingly popular. Full involvement of human operators has led to shortcomings, e.g. high labor cost, limited capability for multiple screens, …
Despite the fact that images constitute the main objects in computer vision and image analysis, there is remarkably little concern about their actual definition. In this book a …
Machine learning is a novel discipline concerned with the analysis of large and multiple variables data. It involves computationally intensive methods, like factor analysis, …
Computer vision and image analysis require interdisciplinary collaboration between mathematics and engineering. This book addresses the area of high-accuracy measurements of …
This volume provides universal methodologies accompanied by Matlab software to manipulate numerous signal and image processing applications. It is done with discrete and polynomial …
The Twelfth International Workshop on Maximum Entropy and Bayesian Methods in Sciences and Engineering (MaxEnt 92) was held in Paris, France, at the Centre National de la Recherche …
Invariant, or coordinate-free methods provide a natural framework for many geometric questions. Invariant Methods in Discrete and Computational Geometry provides a basic …
Edward Muybridge (1830-1904) is known as the pioneer in motion capt- ing with his famous experiments in 1887 called "e;Animal Locomotion"e;. Since then, the ?eld of animal …