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Visual Attributes 2017 Edition
Contributor(s): Feris, Rogerio Schmidt (Editor), Lampert, Christoph (Editor), Parikh, Devi (Editor)
ISBN: 3319500759     ISBN-13: 9783319500751
Publisher: Springer
OUR PRICE:   $104.49  
Product Type: Hardcover - Other Formats
Published: March 2017
Qty:
Temporarily out of stock - Will ship within 2 to 5 weeks
Additional Information
BISAC Categories:
- Computers | Computer Graphics
- Computers | User Interfaces
- Computers | Human-computer Interaction (hci)
Dewey: 005.437
Series: Advances in Computer Vision and Pattern Recognition
Physical Information: 1.05" H x 6.56" W x 9.53" (1.79 lbs) 364 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

This unique text/reference provides a detailed overview of the latest advances in machine learning and computer vision related to visual attributes, highlighting how this emerging field intersects with other disciplines, such as computational linguistics and human-machine interaction. Topics and features: presents attribute-based methods for zero-shot classification, learning using privileged information, and methods for multi-task attribute learning; describes the concept of relative attributes, and examines the effectiveness of modeling relative attributes in image search applications; reviews state-of-the-art methods for estimation of human attributes, and describes their use in a range of different applications; discusses attempts to build a vocabulary of visual attributes; explores the connections between visual attributes and natural language; provides contributions from an international selection of world-renowned scientists, covering both theoretical aspects and practical applications.