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COMPLIFE
2006
Springer
15 years 1 months ago
Set-Oriented Dimension Reduction: Localizing Principal Component Analysis Via Hidden Markov Models
We present a method for simultaneous dimension reduction and metastability analysis of high dimensional time series. The approach is based on the combination of hidden Markov model...
Illia Horenko, Johannes Schmidt-Ehrenberg, Christo...
BIOCOMP
2010
14 years 7 months ago
A Model Reduction Technique for Stochastic Biochemical Kinetics
Abstract-- Modeling the intermolecular reactions in a single cell is a critical problem in computational biology. Biochemical reaction systems often involve species in both low and...
Silvana Ilie, Ekaterina Kudashkina
CAISE
1999
Springer
15 years 2 months ago
Applying Graph Reduction Techniques for Identifying Structural Conflicts in Process Models
Abstract. The foundation of a process model lies in its control flow specifications. Using a generic process modeling language for workflows, we show how a control flow specificati...
Wasim Sadiq, Maria E. Orlowska
TASE
2008
IEEE
15 years 4 months ago
ProB gets Nauty: Effective Symmetry Reduction for B and Z Models
Symmetry reduction holds great promise to counter the state explosion problem. However, currently it is “conducting a life on the fringe”, and is not widely applied, mainly du...
Corinna Spermann, Michael Leuschel
90
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ICDE
2007
IEEE
228views Database» more  ICDE 2007»
15 years 4 months ago
A General Cost Model for Dimensionality Reduction in High Dimensional Spaces
Similarity search usually encounters a serious problem in the high dimensional space, known as the “curse of dimensionality”. In order to speed up the retrieval efficiency, p...
Xiang Lian, Lei Chen 0002