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A Novel Biologically Inspired Visual Cognition Model: Automatic Extraction of Semantics, Formation of Integrated Concepts, and Reselection Features for Ambiguity 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2018, 卷号: 10, 期号: 2, 页码: 420-431
作者:  Yin, Peijie;  Qiao, Hong;  Wu, Wei;  Qi, Lu;  Li, Yinlin;  Zhong, Shanlin;  Zhang, Bo
收藏  |  浏览/下载：238/0  |  提交时间：2018/07/30
Biologically inspired model  object recognition  semantic learning  structural learning  
Biologically Inspired Model for Visual Cognition Achieving Unsupervised Episodic and Semantic Feature Learning 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2016, 卷号: 46, 期号: 10, 页码: 2335-2347
作者:  Qiao, Hong;  Li, Yinlin;  Li, Fengfu;  Xi, Xuanyang;  Wu, Wei
收藏  |  浏览/下载：113/0  |  提交时间：2018/07/30
Biologically inspired  hierarchical model  key components learning  semantic description  
Biologically Inspired Visual Model With Preliminary Cognition and Active Attention Adjustment 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2015, 卷号: 45, 期号: 11, 页码: 2612-2624
作者:  Qiao, Hong;  Xi, Xuanyang;  Li, Yinlin;  Wu, Wei;  Li, Fengfu
收藏  |  浏览/下载：114/0  |  提交时间：2018/07/30
Active attention adjustment  association  biologically inspired visual model  memory  object recognition  
Enhanced HMAX model with feedforward feature learning for multiclass categorization 期刊论文
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2015, 卷号: 9, 页码: 14
作者:  Li, Yinlin;  Wu, Wei;  Zhang, Bo;  Li, Fengfu
收藏  |  浏览/下载：147/0  |  提交时间：2018/07/30
HMAX  biologically inspired  feedforward  saliency map  middle level patch learning  feature encoding  multiclass categorization