Due to the lack of built-in quality of service support, IEEE 802.11 ad-hoc networks presents serious defies in meeting the demands of multimedia applications. To overcome such ch...
Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...
This paper introduces a novel statistical mixture model for probabilistic grouping of distributional histogram data. Adopting the Bayesian framework, we propose to perform anneale...
In genome rearrangements, the double cut and join (DCJ) operation, introduced by Yancopoulos et al., allows to represent most rearrangement events that could happen in multichromos...
We propose a method to find candidate 2D articulated model configurations by searching for locally optimal configurations under a weak but computationally manageable fitness functi...