Modeling Pointing Tasks in Mouse-Based Human-Computer Interactions

In particular, we focus on (a) important data gaps and new initiatives to close them, for example through space‐ and airborne sensors, (b) how various

Design of experiments for the evaluation of the human exoskeleton interaction in the context of small data collections. Conference HFES : Understanding Human Behaviour in

Land registry management module contains seven sub modules: relative laws and regulations; the present situation of land use; land conversion investigation; farmland

On the basis of AV and EV data, then, we have described the multi- dimensional nature of the political supply as it is perceived by voters, and we have shown that the current

For the TrOCA method we identified low inventory estimates in the South Atlantic (Fig. 3b) due to the relatively large amount of negative C ant estimates in deep waters (Fig. The

A fusion algorithm is proposed to combine the DBRB and KBRB to obtain an optimal hybrid belief rule base (HBRB), based on which a query pattern is classified by taking into

The L 2 parameter regularization, also known as weight decay, is com- monly used in machine learning and especially when training deep neural networks.. This simple

”Where the data are coming from?” Ethics, crowdsourcing and traceability for Big Data in Human Language Technology1. Crowdsourcing and human computation multidisciplinary