Support Vector Machines (SVMs) for classification tasks produce sparse models by maximizing the margin. Two limitations of this technique are considered in this work: firstly, th...
To provide personalization and adaptivity in technology enhanced learning systems, the needs of learners have to be known by the system first. Detecting these needs is a challengin...
: Despite the reliance of cooperative applications on the facilities provided by distributed systems, little consideration is given by these systems to the support of cooperative w...
It is a truism that for a machine to have a useful access to memory or workspace, it must "know" where its input ends and its working memory begins. Most machine models ...
We define a novel metric on the space of closed planar curves which decomposes into three intuitive components. According to this metric centroid translations, scale changes and ...
Ganesh Sundaramoorthi, Andrea Mennucci, Stefano So...