Institutional Repository of Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Incremental PCANet: A Lifelong Learning Framework to Achieve the Plasticity of both Feature and Classifier Constructions | |
Wangli Hao1; Zhaoxiang Zhang1,2,3 | |
2016 | |
会议名称 | BICS |
会议日期 | 2017.5 |
会议地点 | 北京 |
摘要 | The plasticity in our brain gives us promising ability to learn and know the world. Although great successes have been achieved in many fields, few bio-inspired methods have mimiced this ability. They are infeasible when the data is time-varying and the scale is large because |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/23882 |
专题 | 模式识别国家重点实验室 智能感知与计算研究中心 |
作者单位 | 1.Institute of Automation, University of Chinese Academy of sciences 2.CAS Center for Excellence in Brain Science and Intelligence 3.Center of Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese |
推荐引用方式 GB/T 7714 | Wangli Hao,Zhaoxiang Zhang. Incremental PCANet: A Lifelong Learning Framework to Achieve the Plasticity of both Feature and Classifier Constructions[C],2016. |
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