DocumentCode
2227162
Title
An Algorithm Based on Imbalance Samples for Vehicle Recognition
Author
Wen, Xuezhi ; Zhao, Yingnan
Author_Institution
Coll. of Comput. & Software, Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China
fYear
2009
fDate
26-28 Dec. 2009
Firstpage
1120
Lastpage
1123
Abstract
A vehicle recognition algorithm is proposed to solve imbalanced datasets in vehicle recognition based on SVM ensembles. Moreover, an improved Wavelet feature algorithm is also presented. Experimental results show that the presented method has high precision and recall. Furthermore, the system performance can also be improved by increasing learning and has better application.
Keywords
feature extraction; learning (artificial intelligence); object recognition; support vector machines; vehicles; wavelet transforms; SVM ensembles; imbalance samples; imbalanced datasets; vehicle recognition; wavelet feature algorithm; Data mining; Educational institutions; Feature extraction; Information science; Neural networks; Pattern recognition; Software algorithms; Support vector machine classification; Support vector machines; Vehicle detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4909-5
Type
conf
DOI
10.1109/ICISE.2009.229
Filename
5455308
Link To Document