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» Computing the Dimension of Linear Subspaces
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FOCS
1992
IEEE
14 years 2 months ago
Dynamic Half-Space Reporting, Geometric Optimization, and Minimum Spanning Trees
We describe dynamic data structures for half-space range reporting and for maintaining the minima of a decomposable function. Using these data structures, we obtain efficient dyna...
Pankaj K. Agarwal, David Eppstein, Jirí Mat...
CVPR
1999
IEEE
14 years 12 months ago
Implicit Representation and Scene Reconstruction from Probability Density Functions
A technique is presented for representing linear features as probability density functions in two or three dimensions. Three chief advantages of this approach are (1) a unified re...
Steven M. Seitz, P. Anandan
ICANN
2007
Springer
14 years 4 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
AUTOMATICA
2005
112views more  AUTOMATICA 2005»
13 years 9 months ago
Robust maximum-likelihood estimation of multivariable dynamic systems
This paper examines the problem of estimating linear time-invariant state-space system models. In particular it addresses the parametrization and numerical robustness concerns tha...
Stuart Gibson, Brett Ninness
TSP
2010
13 years 4 months ago
A nondata-aided SNR estimation technique for multilevel modulations exploiting signal cyclostationarity
Signal-to-noise ratio (SNR) estimators of linear modulation schemes usually operate at one sample per symbol at the matched filter output. In this paper we propose a new method for...
Jaume Riba, Javier Villares, Gregori Vázque...