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Advances in Spatio-Temporal Segmentation of Visual Data by Vladimir Mashtalir (E

Description: Advances in Spatio-Temporal Segmentation of Visual Data by Vladimir Mashtalir, Igor Ruban, Vitaly Levashenko Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description This book proposes a number of promising models and methods for adaptive segmentation, swarm partition, permissible segmentation, and transform properties, as well as techniques for spatio-temporal video segmentation and interpretation, online fuzzy clustering of data streams, and fuzzy systems for information retrieval. Publisher Description This book proposes a number of promising models and methods for adaptive segmentation, swarm partition, permissible segmentation, and transform properties, as well as techniques for spatio-temporal video segmentation and interpretation, online fuzzy clustering of data streams, and fuzzy systems for information retrieval. The main focus is on the spatio-temporal segmentation of visual information. Sets of meaningful and manageable image or video parts, defined by visual interest or attention to higher-level semantic issues, are often vital to the efficient and effective processing and interpretation of viewable information. Developing robust methods for spatial and temporal partition represents a key challenge in computer vision and computational intelligence as a whole.This book is intended for students and researchers in the fields of machine learning and artificial intelligence, especially those whose work involves image processing and recognition, video parsing, and content-based image/video retrieval. Details ISBN 3030354792 ISBN-13 9783030354794 Title Advances in Spatio-Temporal Segmentation of Visual Data Author Vladimir Mashtalir, Igor Ruban, Vitaly Levashenko Format Hardcover Year 2020 Pages 274 Edition 1st Publisher Springer Nature Switzerland AG GE_Item_ID:137664377; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

Price: 125.62 USD

Location: Fairfield, Ohio

End Time: 2024-12-23T03:50:52.000Z

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Advances in Spatio-Temporal Segmentation of Visual Data by Vladimir Mashtalir (E

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Restocking Fee: No

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ISBN-13: 9783030354794

Book Title: Advances in Spatio-Temporal Segmentation of Visual Data

Number of Pages: IX, 274 Pages

Publication Name: Advances in Spatio-Temporal Segmentation of Visual Data

Language: English

Publisher: Springer International Publishing A&G

Publication Year: 2020

Subject: Engineering (General), Applied, Computer Vision & Pattern Recognition

Type: Textbook

Item Weight: 21 Oz

Item Length: 9.3 in

Subject Area: Mathematics, Computers, Technology & Engineering

Author: Igor Ruban

Item Width: 6.1 in

Series: Studies in Computational Intelligence Ser.

Format: Hardcover

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