Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...
We describe an application of relational knowledge discovery to a key regulatory mission of the National Association of Securities Dealers (NASD). NASD is the world's largest...
This paper proposes a model of approach behavior with which a robot can initiate conversation with people who are walking. We developed the model by learning from the failures in ...
Satoru Satake, Takayuki Kanda, Dylan F. Glas, Mich...
Autonomous mobile programs (AMPs) offer a novel decentralised load management technology where periodic use is made of cost models to decide where to execute in a network. In this...
We propose a new two-stage framework for joint analysis of head gesture and speech prosody patterns of a speaker toward automatic realistic synthesis of head gestures from speech p...