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SADM
2010
173views more  SADM 2010»
12 years 11 months ago
Data reduction in classification: A simulated annealing based projection method
This paper is concerned with classifying high dimensional data into one of two categories. In various settings, such as when dealing with fMRI and microarray data, the number of v...
Tian Siva Tian, Rand R. Wilcox, Gareth M. James
CVPR
2004
IEEE
14 years 7 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
SIAMSC
2008
131views more  SIAMSC 2008»
13 years 5 months ago
Gramian-Based Model Reduction for Data-Sparse Systems
Model order reduction (MOR) is common in simulation, control and optimization of complex dynamical systems arising in modeling of physical processes and in the spatial discretizati...
Ulrike Baur, Peter Benner
BMCBI
2006
165views more  BMCBI 2006»
13 years 5 months ago
Improved variance estimation of classification performance via reduction of bias caused by small sample size
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
Ulrika Wickenberg-Bolin, Hanna Göransson, M&a...
INTERSPEECH
2010
12 years 12 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...