August 03, Taking both industry practice and recent advances in valuation methods into consideration, this text introduces students to a broad spectrum of valuation approaches and equips them to. Forsyth Computer Vision: A Modern Approach, 2e, is appropriate for upper-division undergraduate- and graduate-level courses in computer vision found in departments of Computer Science, Computer Engineering and Electrical Engineering.
This textbook provides the most complete treatment of modern computer vision methods by two of the leading authorities in the field. This accessible presentation gives both a general view of the entire computer vision enterprise and also offers sufficient detail for students to be able to build useful applications.
It can also be used as a guide to the field by practitioners. The book has contributions from experts in top universities and industry. The editors have taken extreme care to ensure continuity across the chapters. In Part A, the tools used by business analysts are described in detail. In Part B, these tools are applied to construct models used to solve business problems. Part C contains detailed applications in various functional areas of business and several case studies.
Supporting material can be found in the appendices that develop the pre-requisites for the main text. Every chapter has a business orientation.
Typically, each chapter begins with the description of business problems that are transformed into data questions; and methodology is developed to solve these questions.
Data analysis is conducted using widely used software, the output and results are clearly explained at each stage of development. These are finally transformed into a business solution. The companion website provides examples, data sets and sample code for each chapter. Problem 7P.
Problem 8P. Problem 9P. Problem 10P. Problem 11P. Problem 12P. Problem 13P. Problem 14P. Problem 15P. Problem 16P. Problem 17P. Problem 18P. Problem 19P.
Problem 20P. Problem 21P. Problem 22P. Problem 23P. Problem 24P. Problem 25P. Problem 26P. Problem 1C.
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