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IEICET
2010
133views more  IEICET 2010»
14 years 8 months ago
Least-Squares Conditional Density Estimation
Estimating the conditional mean of an input-output relation is the goal of regression. However, regression analysis is not sufficiently informative if the conditional distribution...
Masashi Sugiyama, Ichiro Takeuchi, Taiji Suzuki, T...
PAMI
2010
146views more  PAMI 2010»
14 years 8 months ago
A Generalized Kernel Consensus-Based Robust Estimator
In this paper, we present a new Adaptive Scale Kernel Consensus (ASKC) robust estimator as a generalization of the popular and state-of-the-art robust estimators such as RANSAC (R...
Hanzi Wang, Daniel Mirota, Gregory D. Hager
TSP
2010
14 years 4 months ago
Estimation of ambiguity functions with limited spread
This paper proposes a new estimation procedure for the ambiguity function of a non-stationary time series. The stochastic properties of the empirical ambiguity function calculated...
Heidi Hindberg, Sofia C. Olhede
ICASSP
2011
IEEE
14 years 1 months ago
Entropy estimation using the principle of maximum entropy
In this paper, we present a novel entropy estimator for a given set of samples drawn from an unknown probability density function (PDF). Counter to other entropy estimators, the e...
Behrouz Behmardi, Raviv Raich, Alfred O. Hero
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TWC
2008
156views more  TWC 2008»
14 years 9 months ago
Low-Complexity Map Channel Estimation for Mobile MIMO-OFDM Systems
Abstract-- This paper presents a reduced-complexity maximum a posteriori probability (MAP) channel estimator with iterative data detection for orthogonal frequency division multipl...
Jie Gao, Huaping Liu