Determinant and Exchange Algorithms for Observation Subset Selection

被引:9
|
作者
Broughton, Robert [1 ]
Coope, Ian [1 ]
Renaud, Peter [1 ]
Tappenden, Rachael [1 ]
机构
[1] Univ Canterbury, Dept Math & Stat, Christchurch 8140, New Zealand
关键词
Determinant metric; image reconstruction; row-exchanges; sequential observation selection;
D O I
10.1109/TIP.2010.2048150
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In many applications involving image reconstruction, signal observation time is limited. This emphasizes the requirement for optimal observation selection algorithms. A selection criterion using the trace of a matrix forms the basis of two existing algorithms, the Sequential Backward Selection and Sequential Forward Selection algorithms. Neither is optimal although both generally perform well. Here we introduce a trace row-exchange criterion to further improve the quality of the selected subset and introduce another observation selection criterion based upon the determinant of a matrix.
引用
收藏
页码:2437 / 2443
页数:7
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