Author:
Bai Jing,Wu Yan,Zhang Junming,Chen Fuqiang
Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications
Reference23 articles.
1. A. Krizhevsky, G. Hinton, Learning Multiple Layers of Features from Tiny Images, Computer Science Department, University of Torono, Technical Report, 2009.
2. Learning methods for generic object recognition with invariance to pose and lighting;LeCun;Int. Conf. Comput. Vis. Pattern Recognit.,2004
3. K. Lai, L. Bo, X. Ren et al., Sparse distance learning for object recognition combining rgb and depth information, in: 2011 IEEE International Conference on Robotics and Automation. IEEE, 2011, pp. 4007–4013.
4. M. Blum, J.T. Springenberg, J. Wlfing, M. Riedmiller, A learned feature descriptor for object recognition in RGB-D data, in: Proceedings of the 2012 IEEE International Conference on Robotics and Automation IEEE, 2012, pp. 1298–1303.
5. Unsupervised Feature Learning for RGB-D Based Object Recognition, Experimental Robotics;Bo,2013
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