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» Modeling Nonlinear Time Series Using Improved Least Squares ...
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IGARSS
2009
13 years 5 months ago
Improving NDVI Time Series Class Separation using an Extended Kalman Filter
It is proposed that the NDVI time series derived from MODIS multitemporal remote sensing data can be modelled as a triply (mean, phase and amplitude) modulated cosine function. A ...
Waldo Kleynhans, J. Corne Olivier, Brian P. Salmon...
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
ACCV
2006
Springer
14 years 1 months ago
Fast Global Motion Estimation Via Iterative Least-Square Method
Abstract. This paper presents a fast algorithm for global motion estimation based on Iterative Least- Square Estimation (ILSE) technique. Compared with the traditional framework, t...
Jia Wang, Haifeng Wang, Qingshan Liu, Hanqing Lu
ICASSP
2011
IEEE
12 years 11 months ago
Improved model-based spectral compressive sensing via nested least squares
This paper introduces a new algorithm for reconstructing signals with sparse spectrums from noisy compressive measurements. The proposed model-based algorithm takes the signal str...
Mahdi Shaghaghi, Sergiy A. Vorobyov
MA
2010
Springer
132views Communications» more  MA 2010»
13 years 6 months ago
Model selection by sequentially normalized least squares
Model selection by the predictive least squares (PLS) principle has been thoroughly studied in the context of regression model selection and autoregressive (AR) model order estima...
Jorma Rissanen, Teemu Roos, Petri Myllymäki