Localized deep extreme learning machines for efficient RGB-D object recognition

Localized deep extreme learning machines for efficient RGB-D object recognition

Existing RGB-D object recognition methods either use channel specific handcrafted features, or learn features with deep networks. The former lack representation ability while the latter require large amounts of training data and learning time. In real-time robotics applications involving RGB-D senso...

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Bibliographic Details
Main Authors: Mohd Zaki, Hasan Firdaus, Shafait, Faisal, Mian, Ajmal S.
Format: Proceeding Paper
Language:English
English
Published: Institute of Electrical and Electronic Engineers, Inc. (IEEE) 2015
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://irep.iium.edu.my/64704/
http://irep.iium.edu.my/64704/7/64704%20Localized%20Deep%20Extreme%20Learning.pdf
http://irep.iium.edu.my/64704/8/64704%20Localized%20Deep%20Extreme%20Learning%20SCOPUS.pdf

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