z-logo
open-access-imgOpen Access
Building Effective Representations for Sketch Recognition
Author(s) -
Jun Guo,
Changhu Wang,
Hongyang Chao
Publication year - 2015
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - Uncategorized
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v29i1.9794
Subject(s) - overfitting , computer science , sketch , artificial intelligence , discriminative model , representation (politics) , sketch recognition , machine learning , coding (social sciences) , popularity , pattern recognition (psychology) , autoencoder , convolutional neural network , neural coding , deep learning , artificial neural network , psychology , gesture recognition , social psychology , gesture , statistics , mathematics , algorithm , politics , political science , law

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom