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 Handbook of Data Visualization (Springer Handbooks of Computational Statistics)Visualizing the data is an essential part of any data analysis. Modern computing developments have led to big improvements in graphic capabilities and there are many new possibilities for data displays. This new volume in the series Springer Handbooks of Computational Statistics gives an overview of modern data visualization methods, both in theory... |  |  Blind Image Deconvolution: Theory and ApplicationsBlind image deconvolution is constantly receiving increasing attention from the academic as well the industrial world due to both its theoretical and practical implications. The field of blind image deconvolution has several applications in different areas such as image restoration, microscopy, medical imaging, biological imaging, remote sensing,... |  |  |
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 |  |  Introduction to Machine Learning (Adaptive Computation and Machine Learning)The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, recognize faces or spoken speech, optimize robot behavior so that a task can be completed... |  |  Pattern Recognition, Second EditionPattern recognition is becoming increasingly important in the age of automation and information handling and retrieval. This book provides the most comprehensive treatment available of pattern recognition, from an engineering perspective. Developed through more than ten years of teaching experience, Pattern Recognition is appropriate for both... |
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