DocumentCode
1583420
Title
Feature Selection based on QFT
Author
Zhou, Rigui ; Jiang, Nan ; Yang, Shuqun ; Ding, Qiulin
Author_Institution
Nanjing Univ. of Aeronaut. & Astronaut., Nanjing
Volume
1
fYear
2007
Firstpage
159
Lastpage
163
Abstract
Employing the powerful tool of the Quantum Fourier Transform, This paper presents an algorithm of pattern feature selection.Moreover.the proposed algorithm can perform feature selection tasks exponentially faster than its classical counterpart due to quantum parallelism. The features extracted by this algorithm are helpful to the pattern recognition or image recognition.And this paper proved the feasibility of the algorithm through theory deduction and validate serviceability by a simple pattern figure.
Keywords
Fourier transforms; feature extraction; quantum theory; feature extraction; image recognition; pattern feature selection; pattern recognition; quantum Fourier transform; quantum parallelism; Computer science; Concurrent computing; Extraterrestrial measurements; Pattern recognition; Polynomials; Quantum computing; Quantum entanglement; Quantum mechanics; Registers; Space technology;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2007. ICNC 2007. Third International Conference on
Conference_Location
Haikou
Print_ISBN
978-0-7695-2875-5
Type
conf
DOI
10.1109/ICNC.2007.384
Filename
4344174
Link To Document