This introduction to computational geometry is designed for beginners. It emphasizes simple randomized methods, developing basic principles with the help of planar applications, beginning with deterministic algorithms and shifting to randomized algorithms as the problems become more complex. It also explores higher dimensional advanced...

The decade of the 80's saw the dramatic expansion of high performance computer graphics into domains previously able only to irt with the technology. Among the most dramatic has been the incorporation of real-time interactive manipulation and display for human gures. Though actively pur- sued by several research groups, the...

Learning to perform complex action strategies is an important problem in the fields of artificial intelligence, robotics, and machine learning. Filled with interesting new experimental results, Learning in Embedded Systems explores algorithms that learn efficiently from trial-and error experience with an external world. It is the first...

This textbook is ideal for an undergraduate introduction to probability, with a calculus prerequisite. It is based on a course that the author has taught many times at Berkeley. The text's overall style is informal, but all results are stated precisely, and most are proved. Understanding is developed through intuitive explanations and...

Computer vision seeks a process that starts with a noisy, ambiguous signal from a TV camera and ends with a high-level description of discrete objects located in 3-dimensional space and identified in a human classification. In this book we address this process at several levels. We first treat the low-level image-processing issues of...

This book represents the fruit of many years of research into the use of acupuncture as a tool for releasing holding patterns in the bodymind as a way to restore functional/structural balance and to relieve chronic pain. Dr. Seem shares his clinical experience of how and why this style of acupuncture works and presents specific protocols for...