This paper describes an incremental approach to parsing transcribed spontaneous speech containing disfluencies with a Hierarchical Hidden Markov Model (HHMM). This model makes use...
Efficiently detecting outliers or anomalies is an important problem in many areas of science, medicine and information technology. Applications range from data cleaning to clinica...
Matthew Eric Otey, Amol Ghoting, Srinivasan Partha...
In rapidly growing open environments such as the Internet, users experience information starvation in the midst of data overload, due to di culties similar to nding the needle in a...
Topological predicates between spatial objects have always been a main area of research on spatial data handling, reasoning, and query languages. The focus of research has definit...
We present an integrated approach for supporting in-network sensor data processing in dynamic and heterogeneous sensor networks. The concept relies on data stream processing techni...