Visual learning with navigation as an example

被引：5

作者：

Weng, JA ^{[1
]}

Chen, SY ^{[1
]}

机构：

[1] Michigan State Univ, Dept Comp Sci & Engn, E Lansing, MI 48824 USA

来源：

IEEE INTELLIGENT SYSTEMS & THEIR APPLICATIONS | 2000年 / 15卷 / 05期

基金：

美国国家科学基金会;

关键词：

National Science Foundation grant IRI 9410741 and Office of Naval Research grant N00014-95-1-0637 supported this work. We thank Yuntao Cui; Sally Howden; and Dan Swets for discussions and development of Shoslif subsystems;

D O I：

10.1109/5254.889108

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The Shoslif-N (Self-organizing Hierarchical Optimal Subspace Learning and Inference Framework) has been developed to overcome the limitations of model-based methods. This system automatically derives, during training, the visual features that are best suited for navigation. Using system states enables Shoslif-N to disregard unrelated scene parts and achieve better generalization.

引用

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页码：63 / 71

页数：9

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