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» Noise in Bilinear Problems
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ICCV
2001
IEEE
14 years 6 months ago
Noise in Bilinear Problems
: Despite the wide application of bilinear problems to problems both in computer vision and in other fields, their behaviour under the effects of noise is still poorly understood. ...
John A. Haddon, David A. Forsyth
IJCV
2000
133views more  IJCV 2000»
13 years 4 months ago
Heteroscedastic Regression in Computer Vision: Problems with Bilinear Constraint
We present an algorithm to estimate the parameters of a linear model in the presence of heteroscedastic noise, i.e., each data point having a different covariance matrix. The algor...
Yoram Leedan, Peter Meer
TSP
2008
178views more  TSP 2008»
13 years 4 months ago
Heteroscedastic Low-Rank Matrix Approximation by the Wiberg Algorithm
Abstract--Low-rank matrix approximation has applications in many fields, such as 2D filter design and 3D reconstruction from an image sequence. In this paper, one issue with low-ra...
Pei Chen
ICASSP
2008
IEEE
13 years 11 months ago
Signal approximation using the bilinear transform
This paper explores the approximation properties of a unique basis expansion, which realizes a bilinear frequency warping between a continuous-time signal and its discrete-time re...
Archana Venkataraman, Alan V. Oppenheim
ECCV
2010
Springer
13 years 9 months ago
Bilinear factorization via Augmented Lagrange Multipliers
This paper presents a unified approach to solve different bilinear factorization problems in Computer Vision in the presence of missing data in the measurements. The problem is f...