Can I read Visual Attributes (Advances in Computer Vision and Pattern Recognition) on EtoBox?

Visual Attributes (Advances in Computer Vision and Pattern Recognition) by Rogerio Schmidt Feris, Christoph Lampert, Devi Parikh (eds.) is a nonfiction available to read on EtoBox.

What is Visual Attributes (Advances in Computer Vision and Pattern Recognition) about?

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 of visual attribute learning and practical computer vision applications This authoritative work is a must-read for all researchers interested in recognizing visual attributes and using them in real-world applications, and is

Who reads Visual Attributes (Advances in Computer Vision and Pattern Recognition)?

Author

Rogerio Schmidt Feris, Christoph Lampert, Devi Parikh (eds.)

Publisher

Springer International Publishing Imprint : Springer

Published

2017

Language

EN

ISBN

9783319500751

Category

nonfiction

Subjects

Philosophy, Science, Engineering