In this work a new adaptive fast variational sparse Bayesian learning (V-SBL) algorithm is proposed that is a variational counterpart of the fast marginal likelihood maximization ...
Dmitriy Shutin, Thomas Buchgraber, Sanjeev R. Kulk...
One challenge when tracking objects is to adapt the object representation depending on the scene context to account for changes in illumination, coloring, scaling, etc. Here, we p...
Ali Borji, Simone Frintrop, Dicky N. Sihite, Laure...
In this work we look at combining emerging technologies in programming languages with traditional query processing techniques to provide support for efficient execution of declarat...
We have developed an infrastructure for end-to-end run-time monitoring, behavior/performance analysis, and dynamic adaptation of distributed software. This infrastructure is prima...
— The basic operation of Delay Tolerant Mobile Sensor Network (DTMSN) is for pervasive data gathering in networks with intermittent connectivity, where traditional data gathering...
Jinqi Zhu, Jiannong Cao, Ming Liu, Yuan Zheng, Hai...