Introducing Memory and Association Mechanism Into a Biologically Inspired Visual Model
文献类型：期刊论文
| 作者 | Qiao, Hong ; Li, Yinlin; Tang, Tang; Wang, Peng
|
| 刊名 | IEEE TRANSACTIONS ON CYBERNETICS
 |
| 出版日期 | 2014-09-01 |
| 卷号 | 44期号:9页码:1485-1496 |
| 关键词 | Association biologically inspired visual model memory object recognition |
| 英文摘要 | A famous biologically inspired hierarchical model (HMAX model), which was proposed recently and corresponds to V1 to V4 of the ventral pathway in primate visual cortex, has been successfully applied to multiple visual recognition tasks. The model is able to achieve a set of position- and scale-tolerant recognition, which is a central problem in pattern recognition. In this paper, based on some other biological experimental evidence, we introduce the memory and association mechanism into the HMAX model. The main contributions of the work are: 1) mimicking the active memory and association mechanism and adding the top down adjustment to the HMAX model, which is the first try to add the active adjustment to this famous model and 2) from the perspective of information, algorithms based on the new model can reduce the computation storage and have a good recognition performance. The new model is also applied to object recognition processes. The primary experimental results show that our method is efficient with a much lower memory requirement. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Computer Science, Cybernetics |
| 研究领域[WOS] | Computer Science |
| 关键词[WOS] | MONKEY INFEROTEMPORAL CORTEX ; OBJECT RECOGNITION ; DECLARATIVE MEMORY ; ATTENTION MODEL ; FACIAL FEATURES ; SEMANTIC MEMORY ; TEMPORAL-LOBE ; FAMILIARITY ; MOTION ; DISCRIMINATION |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000342227500001 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/3028]  |
| 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 | Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Qiao, Hong,Li, Yinlin,Tang, Tang,et al. Introducing Memory and Association Mechanism Into a Biologically Inspired Visual Model[J]. IEEE TRANSACTIONS ON CYBERNETICS,2014,44(9):1485-1496. |
| APA | Qiao, Hong,Li, Yinlin,Tang, Tang,&Wang, Peng.(2014).Introducing Memory and Association Mechanism Into a Biologically Inspired Visual Model.IEEE TRANSACTIONS ON CYBERNETICS,44(9),1485-1496. |
| MLA | Qiao, Hong,et al."Introducing Memory and Association Mechanism Into a Biologically Inspired Visual Model".IEEE TRANSACTIONS ON CYBERNETICS 44.9(2014):1485-1496. |
入库方式： OAI收割
来源：自动化研究所
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