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KDD
2009
ACM
230views Data Mining» more  KDD 2009»
14 years 9 days ago
Grouped graphical Granger modeling methods for temporal causal modeling
We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as“grouped graphical Granger modeling methods.” Graphical Granger mo...
Aurelie C. Lozano, Naoki Abe, Yan Liu, Saharon Ros...
BMCBI
2007
173views more  BMCBI 2007»
13 years 7 months ago
Predicting state transitions in the transcriptome and metabolome using a linear dynamical system model
Background: Modelling of time series data should not be an approximation of input data profiles, but rather be able to detect and evaluate dynamical changes in the time series dat...
Ryoko Morioka, Shigehiko Kanaya, Masami Y. Hirai, ...
ICIP
2007
IEEE
14 years 9 months ago
Image Stabilization Based on Fusing the Visual Information in Differently Exposed Images
The objective of image stabilization is to prevent or remove the motion blur degradation from images. We introduce a new approach to image stabilization based on combining informa...
Marius Tico, Markku Vehvilainen
ICDE
2011
IEEE
237views Database» more  ICDE 2011»
12 years 11 months ago
Creating probabilistic databases from imprecise time-series data
— Although efficient processing of probabilistic databases is a well-established field, a wide range of applications are still unable to benefit from these techniques due to t...
Saket Sathe, Hoyoung Jeung, Karl Aberer
JIIS
2007
150views more  JIIS 2007»
13 years 7 months ago
Towards a new approach for mining frequent itemsets on data stream
Mining frequent patterns on streaming data is a new challenging problem for the data mining community since data arrives sequentially in the form of continuous rapid streams. In t...
Chedy Raïssi, Pascal Poncelet, Maguelonne Tei...