[ FreeCourseWeb ] Fundamentals of Image Data Mining- Analysis, Features, Classification and Retrieval
- CategoryOther
- TypeE-Books
- LanguageEnglish
- Total size108.4 MB
- Uploaded Byfreecoursewb
- Downloads112
- Last checkedMay. 17th '19
- Date uploadedMay. 16th '19
- Seeders 6
- Leechers0
[ FreeCourseWeb.com ] Fundamentals of Image Data Mining: Analysis, Features, Classification and Retrieval
Download More Latest Stuff Visit -->> https://FreeCourseWeb.com 
English | ISBN: 3030179885 | 2019 | 314 pages | EPUB, PDF | 92 MB + 18 MB
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.
Use Winrar to Extract. And use a shorter path when extracting, such as C: drive
Download More Latest Stuff Visit -->> https://FreeCourseWeb.com
Get Latest Apps Tips and Tricks -->> https://AppWikia.com
We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace... 
Files:
- [ FreeCourseWeb.com ] Fundamentals of Image Data Mining- Analysis, Features, Classification and Retrieval.rar (108.4 MB)
Code:
- udp://tracker.coppersurfer.tk:6969/announce
- udp://tracker.torrent.eu.org:451/announce
- udp://thetracker.org:80/announce
- udp://retracker.lanta-net.ru:2710/announce
- udp://denis.stalker.upeer.me:6969/announce
- udp://explodie.org:6969/announce
- udp://tracker.filemail.com:6969/announce
- udp://tracker.iamhansen.xyz:2000/announce
- udp://retracker.netbynet.ru:2710/announce
- udp://tracker.nyaa.uk:6969/announce
- udp://torrentclub.tech:6969/announce
- udp://tracker.supertracker.net:1337/announce
- udp://open.demonii.si:1337/announce
- udp://tracker.moeking.me:6969/announce
- udp://tracker.filepit.to:6969/announce