A Novel Biologically Inspired Hierarchical Model for Image Recommendation
Lu Yanfeng(吕彦锋)1; Qiao Hong2,3; Li Yi4; Jia Lihao1; Zhang Aixuan1,5
2017
Conference NameInternational Symposium on Neural Networks 2017
Conference Date2017.6.20--2017.6.26
Conference PlaceSapporo, Japan
AbstractThe biologically inspired model (BIM) for invariant feature representation has attracted widespread attention recently, which approximately follows the organization of cortex visuel. BIM is a computational architecture with four layers. With the image data size increases, the four-layer framework is prone to be overfitting, which limits its application. To address this issue, motivated by biology, we propose a biologically inspired hierarchical model (BIHM) for image feature representation, which adds two more discriminative layers upon the conventional four-layer framework. In contrast to the conventional BIM that mimics the inferior temporal cortex, which corresponds to the low level feature invariance and selectivity, the proposed BIHM adds two more layers upon the conventional BIM framework to simulate inferotemporal cortex, exploring higher level feature invariance and selectivity. Furthermore, we firstly utilize the BIHM in the image recommendation. To demonstrate the effectiveness of proposed model, we use it in image recommendation task and perform experiment on CalTech5 datasets. The experiment results show that BIHM exhibits higher performance than conventional BIM and is very comparable to existing architectures.
KeywordVisual Cortex Biologically Inspired Model Classification Image Recommendation.
Indexed ByEI
Language英语
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/15337
Collection复杂系统管理与控制国家重点实验室_机器人理论与应用
Affiliation1.Research Center for Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences
2.The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences
3.CAS Center for Excellence in Brain Science and Intelligence Technology
4.School of Information Engineering, Nanchang University
5.School of Mechanical and Material Engineering, North China University of Technology
Recommended Citation
GB/T 7714
Lu Yanfeng,Qiao Hong,Li Yi,et al. A Novel Biologically Inspired Hierarchical Model for Image Recommendation[C],2017.
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