Data analysis using scale-space filtering and Bayesian probabilistic reasoning

Data Analysis Using Scale-space Filtering and Bayesian Probabilistic Reasoning

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Spatio-Frequency Analysis of Scale-Space Filtering

We study implementation issues for spatial convolution lters and their Fourier alternative, with the aim to optimise the accuracy of lter output. We focus on Gaussian scale-space lters and show that there exists a trade-o scale that subdivides the available scale range in the sense that the smaller and larger scales are best extracted by Fourier, respectively spatial ltering.

Scale-Space Filtering

The extrema in a signal and its first few derivatives provide a useful general-purpose qualitative description for many kinds of signals. A fundamental problem in computing such descriptions is scale: a derivative must be taken over some neighborhood, but there is seldom a principled basis for choosing its size. Scale-space filtering is a method that describes signals qualitatively, managing th...

Scale space filtering pdf

Analysis of Hierarchical Bayesian Models for Large Space Time Data of the Housing Prices in Tehran

Housing price data is correlated to their location in different neighborhoods and their correlation is type of spatial (location). The price of housing is varius in different months, so they also have a time correlation. Spatio-temporal models are used to analyze this type of the data. An important purpose of reviewing this type of the data is to fit a suitable model for the spatial-temporal an...