Probabilistic feature relevance learning (PFRL) is an effective technique for adaptively computing local feature relevance for content-based image retrieval. It however becomes le...
Reliable execution and analysis of an evolutionary algorithm (EA) normally requires many runs to provide reasonable assurance that stochastic effects have been properly considered...
Multivariate time series (MTS) datasets are common in various multimedia, medical and financial applications. We propose a similarity measure for MTS datasets, Eros (Extended Fro...
This work identifies practical compiling techniques for scalable shared memory machines. For this, we have focused on experimental studies using a real machine and representative ...
Yunheung Paek, Angeles G. Navarro, Emilio L. Zapat...
Many on-line (interactive) mathematics recognition systems allow the creation of typeset equations, normally in LaTeX, but they do not support mathematical problem solving. In thi...
George Labahn, Edward Lank, Scott MacLean, Mirette...