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» Robust estimation for sparse data
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ICIP
2002
IEEE
15 years 11 months ago
Complexity regularized shape estimation from noisy Fourier data
We consider the estimation of an unknown arbitrary 2D object shape from sparse noisy samples of its Fourier transform. The estimate of the closed boundarycurve is parametrized by ...
Natalia A. Schmid, Yoram Bresler, Pierre Moulin
CVPR
2010
IEEE
15 years 6 months ago
Hierarchical Convolutional Sparse Image Decomposition
Building robust low and mid-level image representations, beyond edge primitives, is a long-standing goal in vision. Many existing feature detectors spatially pool edge information...
Matthew Zeiler, Dilip Krishnan, Graham Taylor, Rob...
COLING
2008
14 years 11 months ago
Exact Inference for Multi-label Classification using Sparse Graphical Models
This paper describes a parameter estimation method for multi-label classification that does not rely on approximate inference. It is known that multi-label classification involvin...
Yusuke Miyao, Jun-ichi Tsujii
ICCAD
2006
IEEE
95views Hardware» more  ICCAD 2006»
15 years 6 months ago
Robust estimation of parametric yield under limited descriptions of uncertainty
Reliable prediction of parametric yield for a specific design is difficult; a significant reason is the reliance of the yield estimation methods on the hard-to-measure distributio...
Wei-Shen Wang, Michael Orshansky
ICANN
2009
Springer
15 years 4 months ago
Multimodal Sparse Features for Object Detection
In this paper the sparse coding principle is employed for the representation of multimodal image data, i.e. image intensity and range. We estimate an image basis for frontal face i...
Martin Haker, Thomas Martinetz, Erhardt Barth