We present a biology-inspired probabilistic graphical model, called the hypernetwork model, and its application to medical diagnosis of disease. The hypernetwork models are a way ...
JungWoo Ha, Jae-Hong Eom, Sung-Chun Kim, Byoung-Ta...
This paper offers a novel detection method, which works well even in the case of a complicated image collection – for instance, a frontal face under a large class of linear tran...
Computer understanding of visual languages in pen-based environments requires a combination of lexical analysis in which the basic tokens are recognized from hand-drawn gestures an...
Adrian C. Bickerstaffe, Aidan Lane, Bernd Meyer, K...
When building an application that requires object class recognition, having enough data to learn from is critical for good performance, and can easily determine the success or fai...
In a tree-based ZigBee network, ZigBee routers (ZRs) must schedule their beacon transmission times to avoid beacon collisions. The beacon schedule determines packet delivery laten...