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CVPR
2009
IEEE
15 years 2 months ago
Projective Least-Squares: Global Solutions with Local Optimization
Recent work in multiple view geometry has focused on obtaining globally optimal solutions at the price of computational time efciency. On the other hand, traditional bundle adj...
Carl Olsson, Fredrik Kahl, Richard I. Hartley
SCIA
2009
Springer
183views Image Analysis» more  SCIA 2009»
14 years 2 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
CVPR
2007
IEEE
14 years 9 months ago
Integrating Global and Local Structures: A Least Squares Framework for Dimensionality Reduction
Linear Discriminant Analysis (LDA) is a popular statistical approach for dimensionality reduction. LDA captures the global geometric structure of the data by simultaneously maximi...
Jianhui Chen, Jieping Ye, Qi Li
ICPR
2008
IEEE
14 years 8 months ago
Local Regularized Least-Square Dimensionality Reduction
In this paper, we propose a new nonlinear dimensionality reduction algorithm by adopting regularized least-square criterion on local areas of the data distribution. We first propo...
Changshui Zhang, Yangqing Jia
ICASSP
2011
IEEE
12 years 11 months ago
A reweighted least squares algorithm for detection of QAM signaling in MIMO channels
This paper proposes a reweighted least squares algorithm for quadrature amplitude modulation (QAM) detector in multiple-input multiple-output (MIMO) channels. Although the QAM det...
Katsumi Konishi, Toshihiro Furukawa