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» Estimating random variables from random sparse observations
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CSDA
2010
122views more  CSDA 2010»
13 years 8 months ago
Nonparametric density estimation for positive time series
The Gaussian kernel density estimator is known to have substantial problems for bounded random variables with high density at the boundaries. For i.i.d. data several solutions hav...
Taoufik Bouezmarni, Jeroen V. K. Rombouts
ICIP
2003
IEEE
14 years 10 months ago
On multivariate estimation by thresholding
Despite their simplicity, scalar threshold operators effectively remove additive white Gaussian noise from wavelet detail coefficients of many practical signals. This paper explor...
Alyson K. Fletcher, Vivek K. Goyal, Kannan Ramchan...
CVIU
2007
154views more  CVIU 2007»
13 years 8 months ago
Bayesian stereo matching
A Bayesian framework is proposed for stereo vision where solutions to both the model parameters and the disparity map are posed in terms of predictions of latent variables, given ...
Li Cheng, Terry Caelli
ECAI
1994
Springer
14 years 24 days ago
The SAT Phase Transition
We describe a detailed experimental investigation of the phase transition for several different classes of randomly generated satisfiability problems. We observe a remarkable consi...
Ian P. Gent, Toby Walsh
IDA
2009
Springer
14 years 3 months ago
Modeling the Short Time Fourier Transform Ratio and Application to Underdetermined Audio Source Separation
This paper presents the theoretical background for the Model Based Underdetermined Source Separation presented in [5]. We show that for a given frequency band, in contrast to custo...
Dinh-Tuan Pham, Zaher El-Chami, Alexandre Gu&eacut...