Image latent semantic analysis based face recognition with ensemble extreme learning machine

Author(s):  
Chao Wang ◽  
Jucheng Yang ◽  
Yarui Chen ◽  
Cao Wu ◽  
Yanbin Jiao
2011 ◽  
Vol 74 (16) ◽  
pp. 2541-2551 ◽  
Author(s):  
Weiwei Zong ◽  
Guang-Bin Huang

1999 ◽  
Vol 22 (4) ◽  
pp. 624-625 ◽  
Author(s):  
Thomas K. Landauer

The hypothesis that perceptual mechanisms could have more representational and logical power than usually assumed is interesting and provocative, especially with regard to brain evolution. However, the importance of embodiment and grounding is exaggerated, and the implication that there is no highly abstract representation at all, and that human-like knowledge cannot be learned or represented without human bodies, is very doubtful. A machine-learning model, Latent Semantic Analysis (LSA) that closely mimics human word and passage meaning relations is offered as a counterexample.


Author(s):  
Bo He ◽  
Dongxun Xu ◽  
Rui Nian ◽  
Mark van Heeswijk ◽  
Qi Yu ◽  
...  

2012 ◽  
Vol 16 (9) ◽  
pp. 1515-1523 ◽  
Author(s):  
Xiaoming Chen ◽  
Wanquan Liu ◽  
Jianhuang Lai ◽  
Zhen Li ◽  
Chong Lu

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