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» Robust binary least squares: Relaxations and algorithms
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CVPR
2004
IEEE
15 years 11 months ago
Robust Subspace Clustering by Combined Use of kNND Metric and SVD Algorithm
Subspace clustering has many applications in computer vision, such as image/video segmentation and pattern classification. The major issue in subspace clustering is to obtain the ...
Qifa Ke, Takeo Kanade
80
Voted
CVPR
2007
IEEE
15 years 11 months ago
Variational Bayes Based Approach to Robust Subspace Learning
This paper presents a new algorithm for the problem of robust subspace learning (RSL), i.e., the estimation of linear subspace parameters from a set of data points in the presence...
Takayuki Okatani, Koichiro Deguchi
MCS
2006
Springer
14 years 9 months ago
Variable projections neural network training
8 The training of some types of neural networks leads to separable non-linear least squares problems. These problems may be9 ill-conditioned and require special techniques. A robus...
V. Pereyra, G. Scherer, F. Wong
78
Voted
ICIP
2000
IEEE
15 years 11 months ago
Robust Image Registration Using Log-Polar Transform
This paper describes a hierarchical image registration algorithm for affine motion recovery. The algorithm estimates the affine transformation parameters necessary to register any...
George Wolberg, Siavash Zokai
88
Voted
ATAL
2009
Springer
15 years 4 months ago
Adaptive price update in distributed Lagrangian relaxation protocol
Distributed Lagrangian Relaxation Protocol (DisLRP) has been proposed to solve a distributed combinatorial maximization problem called the Generalized Mutual Assignment Problem (G...
Katsutoshi Hirayama, Toshihiro Matsui, Makoto Yoko...