Robust learning in adaptive processing of data structures for tree representation based image classification

被引：0
|
作者：
Cho, SY [1 ]
Chi, ZR [1 ]
Wang, ZY [1 ]
Siu, WC [1 ]
机构：
[1] Hong Kong Polytech Univ, Dept Elect & Informat Engn, Ctr Multimedia Signal Proc, Kowloon, Hong Kong, Peoples R China
来源：
16TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL II, PROCEEDINGS | 2002年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a novel robust learning in adaptive processing of data structures for tree representation based image classification is proposed. The idea of this learning scheme is to optimize the free parameters of the node representation in data structures by using the layer-by-layer least squares method. The vanishing of gradient information can be recovered to overcome in learning long-term dependency problem for this adaptive processing.
引用
收藏
页码：108 / 111
页数：4
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