Feature extraction of acoustic targets using uncorrelated neighborhood preserving discriminant projections

Journal of Computational Information Systems

Volumn 6, Issue 8, 2010, Pages 2691-2698

  Liu, Hui ^a,b   Yang, Jun'an ^a,b   Wang, Yi ^a,b  

^a ELECTRONIC ENGINEERING INSTITUTE   (China)

^b Key Laboratory of Electronic Restriction   (China)

Author keywords

Acoustic target recognition; Manifold learning; NPP; UNPDP

Indexed keywords

ACOUSTIC TARGET RECOGNITION; ACOUSTIC TARGETS; CLASS INFORMATION; CLASS-DISTANCE; EMBEDDINGS; LOCAL LINEAR; MANIFOLD LEARNING; NPP; UNPDP;

FEATURE EXTRACTION;

EID: 77957797173     PISSN: 15539105     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (15)

1. Liu Hui, Yang Jun-An, Xu Xuezhong. Acoustic targets recognition based on HMM and SVM[J]. Journal of Detection & Control, 2009, 31(6):33-37(in Chinese)
2. Chen Ke'an, Wang Na, Wu Ying, et al. Subiective evaluation experiments of timbre attribute based acoustic tareet identification[J]. Chinese Sci Bull, 2010, 55(8): 651-659(in Chinese)
3. Hou Chenping, Wu Yi, Yi Dongyun. A novel unified manifold learning framework and an improved Laplacian Eigenmap[J]. Journal of Computer Research and Development, 2009, 46(4):676-682(in Chinese)
4. Andrew Errity. Exploring the Dimensionality of Speech using Manifold Learning and Dimensionality Reduction Methods[D], [Doctoral thesis] Dublin City University, 2010
5. Guan Luyang, Bao Ming, Zhang Peng, Li Xiaodong. One-class classification algorithm based on manifold learning and its application to imbalanced acoustic target recognition[J]. Journal of Acoustic, 2009. 34(1):67-72(in Chinese)
6. Silva V de, Tenenbaum J.B. Global local methods in nonlinear dimensionality reduction[J], Neural Information Processing Systems 15 (NIPS'2002), 2002, 705-712;
7. An introduction to locally linear embedding. Available on http://www.cs.toronto.edu/~roweis/lle/papers/lleintro.pdf;
8. Belkin M, Niyogl P. Laplacian eigenmaps for dimensionality reduction and data representation[J]. Neural Computation, 2003, 15 (6):1373-1396;
9. Wang Guoqiang, Shi Nianfeng, Guo Yuke. Face recognition based on orthogonal discriminant neighborhood preserving projection[J]. Chinese Journal of Scientific Instrument, 2009, 30(8):1734-1738(in Chinese)
10. Xiaofei He and Partha Niyogi. Locality Preserving Projections[C], Advances in Neural Information Processing Systems, 2003
11. Yanwei Pang, Lei Zhang, Zhengkai Liu. Neighborhood Preserving Projections (NPP): A Novel Linear Dimension Reduction Method[J]. ICIC 2005, Part I, Lecture Notes in Computer Science, 2005, 3644:117-125
12. Haitao Zhao, Shaoyuan Sun. Local-information-based uncorrelated feature extraction[J]. Optical Engineering, 2006, 45(2): 1-3
13. X. F. He, S. C. Yan, Y. X. Hu, P. Niyogi, and H. J. Zhang. Face recognition using Laplacian faces[J], IEEE Trans. Pattern Anal, 2005, 27(3):328-340
14. Wang Guoqiang. Research on face recognition approach using subspace with embedding neighborhood discrimimant relation[D]. Dalian: Dalian university of technology, 2008(in Chinese)
15. Zhong Jin, Jing-Yu Yang, Zhong Shan. Face recognition based on the uncorrelated discriminant transformation[J]. Pattern Recognition, 2001, 34:1405-1416