A Novel Biologically Inspired Hierarchical Model for Image Recommendation
文献类型：会议论文
| 作者 | Lu Yanfeng(吕彦锋)1 ; Qiao Hong2,3; Li Yi4; Jia Lihao1; Zhang Aixuan1,5
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| 出版日期 | 2017 |
| 会议日期 | 2017.6.20--2017.6.26 |
| 会议地点 | Sapporo, Japan |
| 关键词 | Visual Cortex Biologically Inspired Model Classification Image Recommendation. |
| 英文摘要 | The 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. |
| 语种 | 英语 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/15337]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_机器人应用与理论组 |
| 作者单位 | 1.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 |
| 推荐引用方式 GB/T 7714 | Lu Yanfeng,Qiao Hong,Li Yi,et al. A Novel Biologically Inspired Hierarchical Model for Image Recommendation[C]. 见:. Sapporo, Japan. 2017.6.20--2017.6.26. |
入库方式： OAI收割
来源：自动化研究所
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