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» Overview and Recent Advances in Partial Least Squares
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SLSFS
2005
Springer
13 years 10 months ago
Overview and Recent Advances in Partial Least Squares
Roman Rosipal, Nicole Krämer
ICCV
2009
IEEE
14 years 10 months ago
Sparse Representation of Cast Shadows via L1-Regularized Least Squares
Scenes with cast shadows can produce complex sets of images. These images cannot be well approximated by lowdimensional linear subspaces. However, in this paper we show that the...
Xue Mei, Haibin Ling, David W. Jacobs
ISBI
2007
IEEE
13 years 11 months ago
Direct Reconstruction of Spiral Mri Using Least Squares Quantization Table
The least squares quantization table (LSQT) method is proposed to accelerate the direct Fourier transform for reconstructing images from nonuniformly sampled data, similar to the ...
Dong Liang, Edmund Y. Lam, George S. K. Fung
IJCNN
2008
IEEE
13 years 11 months ago
Long-term prediction of time series using NNE-based projection and OP-ELM
Abstract— This paper proposes a combination of methodologies based on a recent development –called Extreme Learning Machine (ELM)– decreasing drastically the training time of...
Antti Sorjamaa, Yoan Miche, Robert Weiss, Amaury L...
ICASSP
2011
IEEE
12 years 8 months ago
Sliding window greedy RLS for sparse filters
We present a sliding window RLS for sparse filters, based on the greedy least squares algorithm. The algorithm adapts a partial QR factorization with pivoting, using a simplifie...
Alexandru Onose, Bogdan Dumitrescu, Ioan Tabus