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CPHYSICS
2011
232views Education» more  CPHYSICS 2011»
13 years 3 months ago
A nested Krylov subspace method to compute the sign function of large complex matrices
We present an acceleration of the well-established Krylov-Ritz methods to compute the sign function of large complex matrices, as needed in lattice QCD simulations involving the o...
Jacques Bloch, Simon Heybrock
PAMI
2006
208views more  PAMI 2006»
13 years 8 months ago
Combining Reconstructive and Discriminative Subspace Methods for Robust Classification and Regression by Subsampling
Linear subspace methods that provide sufficient reconstruction of the data, such as PCA, offer an efficient way of dealing with missing pixels, outliers, and occlusions that often ...
Sanja Fidler, Danijel Skocaj, Ales Leonardis
SIGPRO
2008
111views more  SIGPRO 2008»
13 years 8 months ago
Extension of the local subspace method to enhancement of speech with colored noise
Based on dynamic features of human speech, the local projection (LP) method has been adapted to the enhancement of speech corrupted by white noise. As an extension of the LP metho...
Junfeng Sun, Jie Zhang, Michael Small
PKDD
2009
Springer
153views Data Mining» more  PKDD 2009»
14 years 3 months ago
Subspace Regularization: A New Semi-supervised Learning Method
Most existing semi-supervised learning methods are based on the smoothness assumption that data points in the same high density region should have the same label. This assumption, ...
Yan-Ming Zhang, Xinwen Hou, Shiming Xiang, Cheng-L...
PAMI
1998
127views more  PAMI 1998»
13 years 8 months ago
The Random Subspace Method for Constructing Decision Forests
—Much of previous attention on decision trees focuses on the splitting criteria and optimization of tree sizes. The dilemma between overfitting and achieving maximum accuracy is ...
Tin Kam Ho