We propose an object detection method using particle filters. Our approach estimates the probability of object presence in the current image given the history of observations up t...
Efficient XML filtering has been a fundamental technique in recent Web service and XML publish/subscribe applications. In this paper, we consider the problem of filtering a contin...
Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, ...
We propose a new scheme, named contourlet, that provides a flexible multiresolution, local and directional image expansion. The contourlet transform is realized efficiently via a ...
In digital image display devices, data are typically presented via a spatial subsampling procedure implemented as a color filter array, a physical construction whereby each light...