Title :
In the pattern recognition Branch and Bound algorithm´s matlab realizes
Author :
Shan, Tan Jun ; Gang, Hu Wei
Author_Institution :
Computer and information institute, Central South University of Forestry and Technology, Changsha, China
Abstract :
The feature selection algorithm is a key technologies in pattern recognition. The goal is in D characteristic which assigns chooses the most effective d(d ≤ D) characteristic, uses for to describe the sort feature. This article realizes the Branch and Bound algorithm programming in matlab, feature extraction by this method can guarantee the global optimal search under the premise of greatly reduced complexity.
Keywords :
Algorithm design and analysis; Appraisal; Pattern recognition; Presses; Signal processing algorithms; Springs; Synchronization; Branch and Bound Algorithm; Feature selection; Pattern recognition;
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
DOI :
10.1109/ICISE.2010.5691970
