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Fundamentals of Image Data Mining - Analysis, Features, Classification and Retrieval (Paperback, 2nd ed. 2021)
Loot Price: R1,296
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Fundamentals of Image Data Mining - Analysis, Features, Classification and Retrieval (Paperback, 2nd ed. 2021)
Series: Texts in Computer Science
Expected to ship within 9 - 15 working days
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This unique and useful textbook presents a comprehensive review of
the essentials of image data mining, and the latest cutting-edge
techniques used in the field. The coverage spans all aspects of
image analysis and understanding, offering deep insights into areas
of feature extraction, machine learning, and image retrieval. The
theoretical coverage is supported by practical mathematical models
and algorithms, utilizing data from real-world examples and
experiments. Topics and features: Describes essential tools for
image mining, covering Fourier transforms, Gabor filters, and
contemporary wavelet transforms Develops many new exercises (most
with MATLAB code and instructions) Includes review summaries at the
end of each chapter Analyses state-of-the-art models, algorithms,
and procedures for image mining Integrates new sections on
pre-processing, discrete cosine transform, and statistical
inference and testing Demonstrates how features like color,
texture, and shape can be mined or extracted for image
representation Applies powerful classification approaches: Bayesian
classification, support vector machines, neural networks, and
decision trees Implements imaging techniques for indexing, ranking,
and presentation, as well as database visualization This
easy-to-follow, award-winning book illuminates how concepts from
fundamental and advanced mathematics can be applied to solve a
broad range of image data mining problems encountered by students
and researchers of computer science. Students of mathematics and
other scientific disciplines will also benefit from the
applications and solutions described in the text, together with the
hands-on exercises that enable the reader to gain first-hand
experience of computing.
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