Clustering under constraints is a recent innovation in the artificial intelligence community that has yielded significant practical benefit. However, recent work has shown that fo...
We describe an approach to presenting information in spoken dialogues that for the first time brings together multi-attribute decision models, strategic content planning, state-of...
Johanna D. Moore, Mary Ellen Foster, Oliver Lemon,...
A typical task in technical fault detection or medical diagnosis problems is to discriminate normal behavior from one or more types of abnormal behavior by means of different meas...
In this paper we present a methodology to extract information from the Web to build a taxonomy of terms and Web resources for a given domain. This taxonomy represents a hierarchy o...
Efficient handling of large polygonal scenes has always been a challenging task and in recent years, view-frustum and occlusion culling have drawn a lot of attention for accomplis...