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» Unified Solution to Nonnegative Data Factorization Problems
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ICC
2007
IEEE
129views Communications» more  ICC 2007»
14 years 1 months ago
A Factor Graph Approach to the Iterative Detection of OFDM Signals in the Presence of Carrier Frequency Offset and Phase Noise
—This paper provides a new iterative solution to the problem of the joint estimation of phase noise and residual carrier frequency offset in an orthogonal frequency division mult...
Filippo Zuccardi Merli, Giorgio Matteo Vitetta
ATMOS
2008
112views Optimization» more  ATMOS 2008»
13 years 9 months ago
Dynamic Algorithms for Recoverable Robustness Problems
Abstract. Recently, the recoverable robustness model has been introduced in the optimization area. This model allows to consider disruptions (input data changes) in a unified way, ...
Serafino Cicerone, Gabriele Di Stefano, Michael Sc...
ECCV
2000
Springer
13 years 12 months ago
Factorization with Uncertainty
Factorization using Singular Value Decomposition (SVD) is often used for recovering 3D shape and motion from feature correspondences across multiple views. SVD is powerful at find...
Michal Irani, P. Anandan
SIAMSC
2008
113views more  SIAMSC 2008»
13 years 7 months ago
Limited Data X-Ray Tomography Using Nonlinear Evolution Equations
A novel approach to the X-ray tomography problem with sparse projection data is proposed. Non-negativity of the X-ray attenuation coefficient is enforced by modelling it as max{(x)...
Ville Kolehmainen, Matti Lassas, Samuli Siltanen
ECCV
2010
Springer
13 years 8 months ago
Fast and Exact Primal-Dual Iterations for Variational Problems in Computer Vision
The saddle point framework provides a convenient way to formulate many convex variational problems that occur in computer vision. The framework unifies a broad range of data and re...
Jan Lellmann, Dirk Breitenreicher, Christoph Schn&...