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» Online summarization of dynamic time series data
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IJON
2007
91views more  IJON 2007»
15 years 1 months ago
Dynamics of parameters of neurophysiological models from phenomenological EEG modeling
We investigate a recently proposed method for the analysis of oscillatory patterns in EEG data, with respect to its capacity of further quantifying processes on slower (< 1 Hz)...
E. Olbrich, Thomas Wennekers
123
Voted
ESANN
2003
15 years 3 months ago
Self-organizing maps and functional networks for local dynamic modeling
The paper presents a method for times series prediction using a local dynamic modeling based on a three step process. In the first step the input data is embedded in a reconstruct...
Noelia Sánchez-Maroño, Oscar Fontenl...
128
Voted
CDC
2010
IEEE
210views Control Systems» more  CDC 2010»
14 years 9 months ago
Advances in moving horizon estimation for nonlinear systems
In the past decade, moving horizon estimation (MHE) has emerged as a powerful technique for estimating the state of a dynamical system in the presence of nonlinearities and disturb...
Angelo Alessandri, Marco Baglietto, Giorgio Battis...
103
Voted
ICC
2007
IEEE
102views Communications» more  ICC 2007»
15 years 8 months ago
Fair Scheduling for On-Demand Time-Critical Data Broadcast
— This paper presents a fair scheduling scheme for on-line scheduling on-demand time-critical data broadcast in the context of real-time information dissemination. The design of ...
Chih-Lin Hu
107
Voted
ICDM
2006
IEEE
149views Data Mining» more  ICDM 2006»
15 years 8 months ago
Pattern Mining in Frequent Dynamic Subgraphs
Graph-structured data is becoming increasingly abundant in many application domains. Graph mining aims at finding interesting patterns within this data that represent novel knowl...
Karsten M. Borgwardt, Hans-Peter Kriegel, Peter Wa...