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JCP
2006
111views more  JCP 2006»
15 years 1 months ago
Mining Developing Trends of Dynamic Spatiotemporal Data Streams
This paper1 presents an efficient modeling technique for data streams in a dynamic spatiotemporal environment and its suitability for mining developing trends. The streaming data a...
Yu Meng, Margaret H. Dunham
ICMCS
2005
IEEE
173views Multimedia» more  ICMCS 2005»
15 years 6 months ago
A Multi-Modal Mixed-State Dynamic Bayesian Network for Robust Meeting Event Recognition from Disturbed Data
In this work we present a novel multi-modal mixed-state dynamic Bayesian network (DBN) for robust meeting event classification. The model uses information from lapel microphones,...
Marc Al-Hames, Gerhard Rigoll
IV
2002
IEEE
135views Visualization» more  IV 2002»
15 years 6 months ago
Static Visualization of Dynamic Data Flow Visual Program Execution
We propose ‘Trace View’, a static visualization method for monitoringand debugging the dynamic behavior of programs written in data flow visual programming languages. Trace V...
Buntarou Shizuki, Etsuya Shibayama, Masashi Toyoda
SC
1993
ACM
15 years 5 months ago
Dynamic data distributions in Vienna Fortran
Vienna Fortran is a machine-independent language extension of Fortran, which is based upon the Single-Program-Multiple-Data SPMD paradigm and allows the user to write programs f...
Barbara M. Chapman, Piyush Mehrotra, Hans Moritsch...
CATA
2004
15 years 2 months ago
Decision Tree Induction for Dynamic, High-Dimensional Data Using P-Trees
1 Decision Tree Induction is a powerful classification tool that is much used in practice and works well for static data with dozens of attributes. We adapt the decision tree conce...
Anne Denton, William Perrizo