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 An Introduction to Numerical Analysis
This introduction to numerical analysis was written for students in mathematics,
the physical sciences, and engineering, at the upper undergraduate to beginning
graduate level. Prerequisites for using the text are elementary calculus, linear
algebra, and an introduction to differential equations. The student's level of... |  |  Algorithms for Image Processing and Computer Vision
Humans still obtain the vast majority of their sensory input through their visual system, and an enormous effort has been made to artificially enhance this sense. Eyeglasses, binoculars, telescopes, radar, infrared sensors, and photomultipliers all function to improve our view of the world and the universe. We even have telescopes in orbit... |  |  Computer Vision: Models, Learning, and Inference
There are already many computer vision textbooks, and it is reasonable to question the need for another. Let me explain why I chose to write this volume.
Computer vision is an engineering discipline; we are primarily motivated by the real-world concern of... |
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 |  |  Bayesian Reasoning and Machine Learning
We live in a world that is rich in data, ever increasing in scale. This data comes from many dierent
sources in science (bioinformatics, astronomy, physics, environmental monitoring) and commerce (customer
databases, nancial transactions, engine monitoring, speech recognition, surveillance, search). Possessing
the knowledge as to... |  |  |
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