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PRL
2006
127views more  PRL 2006»
13 years 8 months ago
Ho-Kashyap classifier with early stopping for regularization
This paper focuses on linear classification using a fast and simple algorithm known as the Ho
Fabien Lauer, Gérard Bloch
CORR
2008
Springer
112views Education» more  CORR 2008»
13 years 8 months ago
2D Linear Precoded OFDM for future mobile Digital Video Broadcasting
In this paper, we propose a novel channel estimation technique based on 2D spread pilots. The merits of this technique are its simplicity, its flexibility regarding the transmissi...
Oudomsack Pierre Pasquero, Matthieu Crussiè...
ICASSP
2010
IEEE
13 years 8 months ago
On linear versus non-linear magnitude-DFT estimators and the influence of super-Gaussian speech priors
Although the linear mean-squared error (MSE) complex-DFT estimator, i.e., the Wiener filter, is well-known, its magnitude-DFT (MDFT) counterpart has never been considered in the ...
Richard C. Hendriks, Richard Heusdens
JMLR
2010
136views more  JMLR 2010»
13 years 3 months ago
High Dimensional Inverse Covariance Matrix Estimation via Linear Programming
This paper considers the problem of estimating a high dimensional inverse covariance matrix that can be well approximated by "sparse" matrices. Taking advantage of the c...
Ming Yuan
IPSN
2004
Springer
14 years 1 months ago
Estimation from lossy sensor data: jump linear modeling and Kalman filtering
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal