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» Some Solutions to the Missing Feature Problem in Vision
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NIPS
1992
13 years 4 months ago
Some Solutions to the Missing Feature Problem in Vision
In visual processing the ability to deal with missing and noisy information is crucial. Occlusions and unreliable feature detectors often lead to situations where little or no dir...
Subutai Ahmad, Volker Tresp
SCIA
2009
Springer
183views Image Analysis» more  SCIA 2009»
13 years 10 months ago
Globally Optimal Least Squares Solutions for Quasiconvex 1D Vision Problems
Abstract. Solutions to non-linear least squares problems play an essential role in structure and motion problems in computer vision. The predominant approach for solving these prob...
Carl Olsson, Martin Byröd, Fredrik Kahl
CF
2010
ACM
13 years 8 months ago
Proposition for a sequential accelerator in future general-purpose manycore processors and the problem of migration-induced cach
As the number of transistors on a chip doubles with every technology generation, the number of on-chip cores also increases rapidly, making possible in a foreseeable future to des...
Pierre Michaud, Yiannakis Sazeides, André S...
CVPR
2005
IEEE
14 years 5 months ago
Damped Newton Algorithms for Matrix Factorization with Missing Data
The problem of low-rank matrix factorization in the presence of missing data has seen significant attention in recent computer vision research. The approach that dominates the lit...
A. M. Buchanan, Andrew W. Fitzgibbon
CVPR
2004
IEEE
14 years 5 months ago
Multibody Factorization with Uncertainty and Missing Data Using the EM Algorithm
Multibody factorization algorithms [2, 1, 16] give an elegant and simple solution to the problem of structure from motion even for scenes containing multiple independent motions. ...
Amit Gruber, Yair Weiss