Online incremental attribute-based zero-shot learning

The paper presents a new online incremental zero-shot learning method for applications in robotics and mobile communications where attribute labeling is obtained via online interaction with users, and where the potential for inconsistency exists. Unique to most previous offline batch learning method...

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Bibliographic Details
Main Authors: Pichai Kankuekul, Aram Kawewong, Sirinart Tangruamsub, Osamu Hasegawa
Format: Conference Proceeding
Published: 2018
Subjects:
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84866713663&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/51518
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Institution: Chiang Mai University