There is an inherent chasm between the real-world and the world that can be perceived by computer systems, yielding uncertainty and ambiguity in system perceived context, with cons...
Medical data is unique due to its large volume, heterogeneity and complexity. This necessitates costly active participation of medical domain experts in the task of cleansing medi...
We present an algorithm, Nomen, for learning generalized names in text. Examples of these are names of diseases and infectious agents, such as bacteria and viruses. These names ex...
Abstract--Sensor network ubiquitous environments may generate a lot of data including heterogeneous `raw' sensor data, low-level feature and/or trend data and higher-level con...
Brian J. d'Auriol, Le Xuan Hung, Sungyoung Lee, Yo...
In this paper we introduce Structured Local Predictors (SLP) – A new formulation that considers the image labelling problem from a structured learning point of view. SLP are loc...