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ICASSP
2011
IEEE
14 years 5 months 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...
SCL
2010
97views more  SCL 2010»
14 years 12 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
MICCAI
2008
Springer
16 years 2 months ago
Customized Design of Hearing Aids Using Statistical Shape Learning
3D shape modeling is a crucial component of rapid prototyping systems that customize shapes of implants and prosthetic devices to a patient's anatomy. In this paper, we presen...
Gozde B. Unal, Delphine Nain, Gregory G. Slabaug...
ICCV
2001
IEEE
16 years 3 months ago
Lambertian Reflectance and Linear Subspaces
We prove that the set of all Lambertian reflectance functions (the mapping from surface normals to intensities) obtained with arbitrary distant light sources lies close to a 9D lin...
Ronen Basri, David W. Jacobs
SMI
2008
IEEE
203views Image Analysis» more  SMI 2008»
15 years 7 months ago
SHREC'08 entry: Shape based face recognition with a Morphable Model
We present a method for face recognition by fitting a 3D Morphable Model to shape data. Fitting is done with a a robust nonrigid ICP algorithm. For recognition, it is possible to...
Brian Amberg, Reinhard Knothe, Thomas Vetter