123 search results - page 14 / 25 » Robust binary least squares: Relaxations and algorithms |
ICIP
1995
IEEE
15 years 1 months ago
1995
IEEE
We consider a general weighted least squares approximation problem with a membrane spline regularization term. The key parameters in this formulation are the weighting factors whi...
111
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ICA
2007
Springer
15 years 3 months ago
2007
Springer
In the paper we present new Alternating Least Squares (ALS) algorithms for Nonnegative Matrix Factorization (NMF) and their extensions to 3D Nonnegative Tensor Factorization (NTF) ...
ICCV
2001
IEEE
15 years 11 months ago
2001
IEEE
Principal Component Analysis (PCA) has been widely used for the representation of shape, appearance, and motion. One drawback of typical PCA methods is that they are least squares...
108
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ICRA
2006
IEEE
15 years 3 months ago
2006
IEEE
— This paper proposes a real-time, robust and efficient 3D model-based tracking algorithm. A non linear minimization approach is used to register 2D and 3D cues for monocular 3D...
AMCS
2008
14 years 9 months ago
2008
Principal component analysis (PCA) is a powerful fault detection and isolation method. However, the classical PCA which is based on the estimation of the sample mean and covariance...