Tracking-by-detection is increasingly popular in order to tackle the visual tracking problem. Existing adaptive methods suffer from the drifting problem, since they rely on selfup...
Jakob Santner, Christian Leistner, Amir Saffari, T...
We present the KPC-Toolbox, a collection of Matlab scripts for fitting workload traces into Markovian Arrival Processes (MAPs) in an automatic way. We first present detailed sen...
Digital libraries (DLs) have become a major focus of information technology resources for organizations from academia, to the US Department of Defense to the archeological efforts...
Eric L. Brown, Luis G. Velazco, G. Kirksey, S. Ram...
We consider the problem of how to improve the efficiency of Multiple Kernel Learning (MKL). In literature, MKL is often solved by an alternating approach: (1) the minimization of ...
Zenglin Xu, Rong Jin, Haiqin Yang, Irwin King, Mic...
Abstract. We use a Markov Chain Monte Carlo (MCMC) MML algorithm to learn hybrid Bayesian networks from observational data. Hybrid networks represent local structure, using conditi...