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CORR
2008
Springer
119views Education» more  CORR 2008»
13 years 5 months ago
A maximum entropy approach to OFDM channel estimation
In this work, a Bayesian framework for OFDM channel estimation is proposed. Using the maximum entropy principle to exploit prior system information at the receiver, we successively...
Romain Couillet, Mérouane Debbah
ICML
2003
IEEE
14 years 6 months ago
Learning Mixture Models with the Latent Maximum Entropy Principle
We present a new approach to estimating mixture models based on a new inference principle we have proposed: the latent maximum entropy principle (LME). LME is different both from ...
Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin...
EXPCS
2007
13 years 9 months ago
Introducing entropies for representing program behavior and branch predictor performance
Predictors are inherent components of state-of-the-art microprocessors. Branch predictors are discussed actively from diverse perspectives. Performance of a branch predictor large...
Takashi Yokota, Kanemitsu Ootsu, Takanobu Baba
ECCV
2002
Springer
14 years 7 months ago
Resolution Selection Using Generalized Entropies of Multiresolution Histograms
The performances of many image analysis tasks depend on the image resolution at which they are applied. Traditionally, resolution selection methods rely on spatial derivatives of i...
Efstathios Hadjidemetriou, Michael D. Grossberg, S...
ACML
2009
Springer
13 years 12 months ago
Robust Discriminant Analysis Based on Nonparametric Maximum Entropy
In this paper, we propose a Robust Discriminant Analysis based on maximum entropy (MaxEnt) criterion (MaxEnt-RDA), which is derived from a nonparametric estimate of Renyi’s quadr...
Ran He, Bao-Gang Hu, Xiaotong Yuan