Gabor regression, Advanced Statistics

This is an approach to the modelling of time-frequency surfaces which consists of a Bayesian regularization scheme in which the prior distributions over the time-frequency coefficients are constructed to favour smoothness of the estimated function and sparseness of the coefficient representation both.

Posted Date: 7/28/2012 2:51:05 AM | Location : United States







Related Discussions:- Gabor regression, Assignment Help, Ask Question on Gabor regression, Get Answer, Expert's Help, Gabor regression Discussions

Write discussion on Gabor regression
Your posts are moderated
Related Questions
Mention the characteristics of Statistics. Explain any two applications of Statistics.

In an experiment, power is a function of 1. The number of variables being measured and the beta level 2. The effect size, internal validity and the beta level 3. The number of part

The number of passengers arriving at an airport terminal average 1200 each hour. To process passengers (check in, take luggage, etc) take an average of 6 minutes each. There are

Multiple correlation coefficient is the correlation among the observed values of dependent variable in the multiple regression, and the values predicted by estimated regression

The method of displaying the geographical variability of the disease on maps using different colors, shading, etc. The logic is not new, but the arrival of computers and computer g

The values assigned to factors for the individual sample units in a factor analysis. The most common approach is "regression method". When the factors are seen as the random variab

3. a. A researcher in Hong Kong computes the correlation between the percentage of employee turnover and the local unemployment rate (also expressed as a percentage) over a 20-mont

Hazard function : The risk which an individual experiences an event in a small time interval, given that the individual has survived up to the starting of the interval. It is th

stationary time series

Probability judgements : Human beings often require assessing the probability which some event will occur and accuracy of these probability judgements often determines success of o