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ICASSP
2011
IEEE
13 years 12 days ago
Data driven model based least squares image reconstruction for radio astronomy
Image reconstruction problems in radio astronomy and other fields like biomedical imaging are often ill-posed and some form of regularization is required. This imposes user speci...
Stefan J. Wijnholds, Alle-Jan van der Veen
ICPR
2010
IEEE
13 years 8 months ago
Hyper Least Squares and Its Applications
We present a new form of least squares (LS), called “hyperLS”, for geometric problems that frequently appear in computer vision applications. Doing rigorous error analysis, we...
Prasanna Rangarajan, Kenichi Kanatani, Hirotaka Ni...
BIBE
2007
IEEE
159views Bioinformatics» more  BIBE 2007»
14 years 20 days ago
Non-negative Tensor Factorization Based on Alternating Large-scale Non-negativity-constrained Least Squares
Non-negative matrix factorization (NMF) and non-negative tensor factorization (NTF) have attracted much attention and have been successfully applied to numerous data analysis probl...
Hyunsoo Kim, Haesun Park, Lars Eldén
ICASSP
2011
IEEE
13 years 12 days 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
KES
2006
Springer
13 years 8 months ago
Sensor Network Localization Using Least Squares Kernel Regression
Abstract. This paper considers the sensor network localization problem using signal strength. Unlike range-based methods signal strength information is stored in a kernel matrix. L...
Anthony Kuh, Chaopin Zhu, Danilo P. Mandic