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IEICET
2011
12 years 8 months ago
Least-Squares Independence Test
Masashi Sugiyama, Taiji Suzuki
NECO
2011
13 years 6 days ago
Least-Squares Independent Component Analysis
Accurately evaluating statistical independence among random variables is a key element of Independent Component Analysis (ICA). In this paper, we employ a squared-loss variant of ...
Taiji Suzuki, Masashi Sugiyama
LSSC
2005
Springer
13 years 10 months ago
On Weighted Structured Total Least Squares
In this contribution we extend our previous results on the structured total least squares problem to the case of weighted cost functions. It is shown that the computational complex...
Ivan Markovsky, Sabine Van Huffel
ICASSP
2009
IEEE
13 years 12 months ago
Jitter compensation in sampling via polynomial least squares estimation
Sampling error due to jitter, or noise in the sample times, affects the precision of analog-to-digital converters in a significant, nonlinear fashion. In this paper, a polynomial...
Daniel S. Weller, Vivek K. Goyal
ICANN
2007
Springer
13 years 11 months ago
Sparse Least Squares Support Vector Regressors Trained in the Reduced Empirical Feature Space
Abstract. In this paper we discuss sparse least squares support vector regressors (sparse LS SVRs) defined in the reduced empirical feature space, which is a subspace of mapped tr...
Shigeo Abe, Kenta Onishi