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INTERSPEECH
2010
13 years 3 months ago
Reduction of broadband noise in speech signals by multilinear subspace analysis
A new noise reduction method for speech signals is proposed in this paper. The method is based upon the N-mode singular value decomposition algorithm, which exploits the multiline...
Yusuke Sato, Tetsuya Hoya, Hovagim Bakardjian, And...
HPCN
1994
Springer
14 years 15 days ago
Communication Cost Reduction for Krylov Methods on Parallel Computers
On large distributed memory parallel computers the global communication cost of inner products seriously limits the performance of Krylov subspace methods 3]. We consider improved ...
Eric de Sturler, Henk A. van der Vorst
CVPR
2004
IEEE
14 years 10 months ago
Multibody Motion Segmentation Based on Simulated Annealing
The problem of multibody motion segmentation is an important and challenging issue in computer vision. In this paper, a novel segmentation technique based on simulated annealing (...
Zhimin Fan, Jie Zhou, Ying Wu
ICIP
2003
IEEE
14 years 10 months ago
Sirface vs. Fisherface: recognition using class specific linear projection
Using a novel data dimension reduction method proposed in statistics, we develop an appearance-based face recognition algorithm which is insensitive to large variation in lighting...
Yangrong Ling, Xiangrong Yin, Suchendra M. Bhandar...
FGR
2004
IEEE
200views Biometrics» more  FGR 2004»
14 years 4 days ago
Using Random Subspace to Combine Multiple Features for Face Recognition
LDA is a popular subspace based face recognition approach. However, it often suffers from the small sample size problem. When dealing with the high dimensional face data, the LDA ...
Xiaogang Wang, Xiaoou Tang