Probabilistic feature relevance learning (PFRL) is an effective technique for adaptively computing local feature relevance for content-based image retrieval. It however becomes le...
Indatawarehousingapplications,numerousOLAP queries involve the processing of holistic aggregators such as computing the "top n," median, quantiles, etc. In this paper, we...
We present a discrete simulation model for software projects which explicitly takes a scheduling strategy as input. The model represents varying staff skill levels, component coup...
In signal processing, the approach of the analytic signal is a capable and often used method. For signals of finite length, quadrature filters yield a bandpass filtered approxim...
other projects in the database. Software development data is highly variable, which often result,s in underlying trends being hidden. In order to address this problem, a method of ...