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DASFAA
2008
IEEE
150views Database» more  DASFAA 2008»
15 years 4 months ago
Approximate Clustering of Time Series Using Compact Model-Based Descriptions
Clustering time series is usually limited by the fact that the length of the time series has a significantly negative influence on the runtime. On the other hand, approximative c...
Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...
FGR
2008
IEEE
134views Biometrics» more  FGR 2008»
15 years 4 months ago
HMM parameter reduction for practical gesture recognition
We examine in detail some properties of gesture recognition models which utilize a reduced number of parameters and lower algorithmic complexity compared to traditional hidden Mar...
Stjepan Rajko, Gang Qian
QEST
2010
IEEE
14 years 7 months ago
DTMC Model Checking by SCC Reduction
Discrete-Time Markov Chains (DTMCs) are a widely-used formalism to model probabilistic systems. On the one hand, available tools like PRISM or MRMC offer efficient model checking a...
Erika Ábrahám, Nils Jansen, Ralf Wim...
ISQED
2005
IEEE
120views Hardware» more  ISQED 2005»
15 years 3 months ago
Passive Hierarchical Model Order Reduction and Realization of RLCM Circuits
This paper presents a novel compact passive modeling technique for high-performance RF passives and interconnects modeled as high-order RLCM circuits. The new method is based on a...
Pu Liu, Zhenyu Qi, Sheldon X.-D. Tan
EMISA
2002
Springer
14 years 9 months ago
A new reduction method for the analysis of large workflow models
Abstract: This paper presents a new net-reduction methodology to facilitate the analysis of large workflow models. We propose an enhanced algorithm based on reducible subnet identi...
Loucif Zerguini, Kees M. van Hee