Visual Attributes

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Application Software, Computer Graphics, General Computing
Cover of the book Visual Attributes by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319500775
Publisher: Springer International Publishing Publication: March 21, 2017
Imprint: Springer Language: English
Author:
ISBN: 9783319500775
Publisher: Springer International Publishing
Publication: March 21, 2017
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book Nanoscale Surface Modification for Enhanced Biosensing by
Cover of the book Secure IP Mobility Management for VANET by
Cover of the book Periodizing Capitalism and Capitalist Extinction by
Cover of the book Evaluation Method of Energy Consumption in Logistic Warehouse Systems by
Cover of the book Mississippi Delta Restoration by
Cover of the book Energy Technology 2018 by
Cover of the book Design, User Experience, and Usability: Technological Contexts by
Cover of the book The Legacy of Second-Wave Feminism in American Politics by
Cover of the book Design for Manufacturability with Advanced Lithography by
Cover of the book Magnetically Activated and Guided Isotope Separation by
Cover of the book Non-equilibrium Evaporation and Condensation Processes by
Cover of the book Low-Rank and Sparse Modeling for Visual Analysis by
Cover of the book Membrane Computing by
Cover of the book Critical Care for Anorexia Nervosa by
Cover of the book Housing for Older People in Singapore: An Annotated Bibliography by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy