Machine Learning in Computer Vision (Computational Imaging and Vision) The goal of computer vision research is to provide computers with humanlike
perception capabilities so that they can sense the environment, understand
the sensed data, take appropriate actions, and learn from this experience in
order to enhance future performance. The field has evolved from the application
of classical pattern...
Handbook of Multisensor Data Fusion
Multisensor data fusion is an emerging technology with important applications in both the military and civilian sectors, such as target recognition, robotics, medical diagnostics, and "smart" buildings. It draws on techniques from wide-ranging disciplines, including artificial intelligence, pattern recognition, and statistical...
High-Dimensional Covariance Estimation: With High-Dimensional Data
Methods for estimating sparse and large covariance matrices
Covariance and correlation matrices play fundamental roles in every aspect of the analysis of multivariate data collected from a variety of fields including business and economics, health care, engineering, and environmental and physical sciences....
Beyond Red and Blue: How Twelve Political Philosophies Shape American Debates On any given night cable TV news will tell us how polarized American politics is: Republicans are from Mars, Democrats are from Canada. But in fact, writes Peter Wenz in Beyond Red and Blue, Americans do not divide neatly into two ideological camps of red/blue, Republican/Democrat, right/left. If they did, what could explain Republicans...
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