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ICASSP
2011
IEEE
13 years 4 days ago
Subspace pursuit method for kernel-log-linear models
This paper presents a novel method for reducing the dimensionality of kernel spaces. Recently, to maintain the convexity of training, loglinear models without mixtures have been u...
Yotaro Kubo, Simon Wiesler, Ralf Schlüter, He...
ICA
2004
Springer
14 years 1 months ago
Permutation Alignment for Frequency Domain ICA Using Subspace Beamforming Methods
Abstract. In this paper, the authors address the permutation ambiguity that exists in frequency domain Independent Component Analysis of convolutive mixtures. Many methods have bee...
Nikolaos Mitianoudis, Michael E. Davies
MOC
2002
101views more  MOC 2002»
13 years 8 months ago
Global and uniform convergence of subspace correction methods for some convex optimization problems
This paper gives some global and uniform convergence estimates for a class of subspace correction (based on space decomposition) iterative methods applied to some unconstrained con...
Xue-Cheng Tai, Jinchao Xu
ICPR
2000
IEEE
14 years 9 months ago
Motion Segmentation Using Feature Selection and Subspace Method Based on Shape Space
Motion segmentation using feature correspondences can be regarded as a combinatorial problem. A motion segmentation algorithm using feature selection and subspace method is propos...
Naoyuki Ichimura
SCL
2010
97views more  SCL 2010»
13 years 6 months ago
Krylov subspace methods for model order reduction of bilinear control systems
We discuss the use of Krylov subspace methods with regard to the problem of model order reduction. The focus lies on bilinear control systems, a special class of nonlinear systems...
Tobias Breiten, Tobias Damm