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Empirical Evaluation Techniques in Computer Vision - Bowyer, Kevin / Phillips, P. Jonathon
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Bowyer, Kevin / Phillips, P. Jonathon:
Empirical Evaluation Techniques in Computer Vision - used book

ISBN: 9780818684012

ID: 3491556

The two main motivators in computer vision research are to develop algorithms to solve vision problems and to understand and model the human visual system. This work focuses on developing solutions to vision problems from the computer vision and pattern recognition community's point of view. "Empirical Evaluation Techniques in Computer Vision" covers methods that allow comparative assessment of algorithms and the accompanying benefits: Places computer vision on solid experimental and scientific groundsAssists the development of engineering solutions to practical problemsAllows accurate assessments of computer vision researchProvides convincing evidence that computer vision research results in practical solutions Empirical evaluations are divided into three basic categories providing useful insights into computer vision algorithms. Independently administered evaluations make up the first category. The second is evaluations of a set of classification algorithms by one group. The third category is composed of problems where the ground truth is not self evident. A major component of the evaluation process is to develop a method of obtaining the ground truth. Empirical evaluations of algorithms are slowly emerging as a serious subfield in computer vision. The text builds a foundation for developing accepted practices for evaluating algorithms that determine the strengths and weaknesses of different approaches while identifying necessary further research. Successful evaluations can help convince potential users that an algorithm has matured to the point that it can be successfully fielded. Empirical Evaluation Techniques in Computer Vision Bowyer, Kevin / Phillips, P. Jonathon, Institute of Electrical & Electronics Enginee

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Empirical Evaluation Techniques in Computer Vision - Kevin W. Bowyer; P. Jonathon Phillips
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Kevin W. Bowyer; P. Jonathon Phillips:
Empirical Evaluation Techniques in Computer Vision - used book

ISBN: 0818684011

ID: 8249960

The two main motivators in computer vision research are to develop algorithms to solve vision problems and to understand and model the human visual system. This work focuses on developing solutions to vision problems from the computer vision and pattern recognition community's point of view. Empirical Evaluation Techniques in Computer Vision covers methods that allow comparative assessment of algorithms and the accompanying benefits: Places computer vision on solid experimental and scientific grounds Assists the development of engineering solutions to practical problems Allows accurate assessments of computer vision research Provides convincing evidence that computer vision research results in practical solutions Empirical evaluations are divided into three basic categories providing useful insights into computer vision algorithms. Independently administered evaluations make up the first category. The second is evaluations of a set of classification algorithms by one group. The third category is composed of problems where the ground truth is not self evident. A major component of the evaluation process is to develop a method of obtaining the ground truth. Empirical evaluations of algorithms are slowly emerging as a serious subfield in computer vision. The text builds a foundation for developing accepted practices for evaluating algorithms that determine the strengths and weaknesses of different approaches while identifying necessary further research. Successful evaluations ca algorithms,computer science,computer vision and pattern recognition,computers,computers and technology,electrical and electronics,electronics,engineering,engineering and transportation,programming Engineering & Transportation, IEEE Computer Society Press

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Empirical Evaluation Techniques in Computer Vision (Practitioners) - Kevin W. Bowyer; P. Jonathon Phillips
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Empirical Evaluation Techniques in Computer Vision (Practitioners) - used book

ISBN: 0818684011

ID: 8249960

The two main motivators in computer vision research are to develop algorithms to solve vision problems and to understand and model the human visual system. This work focuses on developing solutions to vision problems from the computer vision and pattern recognition community's point of view. Empirical Evaluation Techniques in Computer Vision covers methods that allow comparative assessment of algorithms and the accompanying benefits: Places computer vision on solid experimental and scientific grounds Assists the development of engineering solutions to practical problems Allows accurate assessments of computer vision research Provides convincing evidence that computer vision research results in practical solutions Empirical evaluations are divided into three basic categories providing useful insights into computer vision algorithms. Independently administered evaluations make up the first category. The second is evaluations of a set of classification algorithms by one group. The third category is composed of problems where the ground truth is not self evident. A major component of the evaluation process is to develop a method of obtaining the ground truth. Empirical evaluations of algorithms are slowly emerging as a serious subfield in computer vision. The text builds a foundation for developing accepted practices for evaluating algorithms that determine the strengths and weaknesses of different approaches algorithms,computer science,computer vision and pattern recognition,computers,computers and technology,electrical and electronics,electronics,engineering,engineering and transportation,programming Engineering & Transportation, Wiley-IEEE Computer Society Pr

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Empirical Evaluation Techniques in Computer Vision (IEEE Computer Society Press)
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ISBN: 9780818684012

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Empirical evaluations of algorithms are slowly emerging as a serious subfield in computer vision. The text builds a foundation for developing accepted practices for evaluating algorithms that determine the strengths and weaknesses of different approaches while identifying necessary further research. Successful evaluations can help convince potential users that an algorithm has matured to the point that it can be successfully fielded., [PU: IEEE Computer Society Press]

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Empirical Evaluation Techniques in Computer Vision - Kevin Bowyer; Jonathon Phillips
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Kevin Bowyer; Jonathon Phillips:
Empirical Evaluation Techniques in Computer Vision - Paperback

1998, ISBN: 9780818684012

ID: 406905

Softcover, Buch, [PU: IEEE Computer Society Press,U.S.]

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Details of the book
Empirical Evaluation Techniques in Computer Vision

Empirical evaluations of algorithms are slowly emerging as a serious subfield in computer vision. The text builds a foundation for developing accepted practices for evaluating algorithms that determine the strengths and weaknesses of different approaches while identifying necessary further research. Successful evaluations can help convince potential users that an algorithm has matured to the point that it can be successfully fielded.

Details of the book - Empirical Evaluation Techniques in Computer Vision


EAN (ISBN-13): 9780818684012
ISBN (ISBN-10): 0818684011
Paperback
Publishing year: 1998
Publisher: INST OF ELECTRICAL & ELEC
255 Pages
Weight: 0,363 kg
Language: eng/Englisch

Book in our database since 18.05.2007 09:44:20
Book found last time on 13.06.2018 15:21:45
ISBN/EAN: 0818684011

ISBN - alternate spelling:
0-8186-8401-1, 978-0-8186-8401-2


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