Description: Fundamentals of Image Data Mining : Analysis, Features, Classification and Retrieval, Paperback by Zhang, Dengsheng, ISBN 3030179915, ISBN-13 9783030179915, Like New Used, Free shipping in the US This reader-friendly 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 the essential tools for image mining, covering Fourier transforms, Gabor filters, and contemporary wavelet transforms; reviews a varied range of state-of-the-art models, algorithms, and procedures for image mining; emphasizes how to deal with real image data for practical image mining; highlights how such features as color, texture, and shape can be mined or extracted from images for image representation; presents four powerful approaches for classifying image data, namely, Bayesian classification, Support Vector Machines, Neural Networks, and Decision Trees; discusses techniques for indexing, image ranking, and image presentation, along with image database visualization methods; provides self-test exercises with instructions or Matlab code, as well as review summaries at the end of each chapter. This easy-to-follow work 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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Book Title: Fundamentals of Image Data Mining : Analysis, Features, Classific
Number of Pages: Xxxi, 314 Pages
Publication Name: Fundamentals of Image Data Mining : Analysis, Features, Classification and Retrieval
Language: English
Publisher: Springer International Publishing A&G
Subject: Probability & Statistics / General, Databases / Data Mining, Computer Vision & Pattern Recognition
Publication Year: 2020
Type: Textbook
Item Weight: 18.8 Oz
Author: Dengsheng Zhang
Item Length: 9.3 in
Subject Area: Mathematics, Computers
Item Width: 6.1 in
Series: Texts in Computer Science Ser.
Format: Trade Paperback
