| 書目名稱 | Fundamentals of Image Data Mining | | 副標題 | Analysis, Features, | | 編輯 | Dengsheng Zhang | | 視頻video | http://file.papertrans.cn/351/350339/350339.mp4 | | 概述 | Presents a complete introduction to image data mining, and a treasure trove of cutting-edge techniques in image data mining.Describes the applied mathematics and mathematical modelling in an engaging | | 叢書名稱 | Texts in Computer Science | | 圖書封面 |  | | 描述 | .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 se | | 出版日期 | Textbook 20191st edition | | 關鍵詞 | Image analysis; Feature extraction; Machine learning; Image retrieval; Wavelet transforms; Support vector | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-17989-2 | | isbn_softcover | 978-3-030-17991-5 | | isbn_ebook | 978-3-030-17989-2Series ISSN 1868-0941 Series E-ISSN 1868-095X | | issn_series | 1868-0941 | | copyright | Springer Nature Switzerland AG 2019 |
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