An optimal non-adaptive search plan for 3D models retrieval

被引：0
|
作者：
Peng, Bo [1 ]
Zhu, Qingxin [1 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Comp Sci & Engn, Chengdu 610054, Peoples R China
来源：
FIRST INTERNATIONAL MULTI-SYMPOSIUMS ON COMPUTER AND COMPUTATIONAL SCIENCES (IMSCCS 2006), PROCEEDINGS, VOL 2 | 2006年
关键词：
D O I：
10.1109/IMSCCS.2006.189
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, we present a non-adaptive optimal plan that minimizes the mean search efforts based on the optimal search theory. A non-adaptive plan makes no use of the feedback generated by the search except the query object is found. In particular, we apply our search algorithm on PSB database to retrieve different classes of 3D models. Experiment results showed that the retrieval time to find the query object can be reduced largely.
引用
收藏
页码：352 / +
页数：2
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