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JMLR
2010
191views more  JMLR 2010»
13 years 2 months ago
Noise-contrastive estimation: A new estimation principle for unnormalized statistical models
We present a new estimation principle for parameterized statistical models. The idea is to perform nonlinear logistic regression to discriminate between the observed data and some...
Michael Gutmann, Aapo Hyvärinen
TNN
2010
127views Management» more  TNN 2010»
13 years 2 months ago
RAMOBoost: ranked minority oversampling in boosting
In recent years, learning from imbalanced data has attracted growing attention from both academia and industry due to the explosive growth of applications that use and produce imba...
Sheng Chen, Haibo He, Edwardo A. Garcia
CDC
2010
IEEE
128views Control Systems» more  CDC 2010»
13 years 2 months ago
Decentralization of particle filters using arbitrary state decomposition
In this paper, a new particle filter (PF) which we refer to as the decentralized PF (DPF) is proposed. By first decomposing the state into two parts, the DPF splits the filtering p...
Tianshi Chen, Thomas B. Schön, Henrik Ohlsson...
TSP
2011
170views more  TSP 2011»
13 years 2 months ago
Model Selection for Sinusoids in Noise: Statistical Analysis and a New Penalty Term
—Detection of the number of sinusoids embedded in noise is a fundamental problem in statistical signal processing. Most parametric methods minimize the sum of a data fit (likeli...
Boaz Nadler, Leonid Kontorovich
ICASSP
2011
IEEE
12 years 11 months ago
Mixture Kalman filtering for joint carrier recovery and channel estimation in time-selective Rayleigh fading channels
This paper proposes a new blind algorithm, based on Mixture Kalman Filtering (MKF), for joint carrier recovery and channel estimation in time-selective Rayleigh fading channels. M...
Ali A. Nasir, Salman Durrani, Rodney A. Kennedy