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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
SPEECH
1998
118views more  SPEECH 1998»
14 years 9 months ago
Dimensionality reduction of electropalatographic data using latent variable models
We consider the problem of obtaining a reduced dimension representation of electropalatographic (EPG) data. An unsupervised learning approach based on latent variable modelling is...
Miguel Á. Carreira-Perpiñán, ...
TIP
2008
133views more  TIP 2008»
14 years 9 months ago
A Recursive Model-Reduction Method for Approximate Inference in Gaussian Markov Random Fields
This paper presents recursive cavity modeling--a principled, tractable approach to approximate, near-optimal inference for large Gauss-Markov random fields. The main idea is to su...
Jason K. Johnson, Alan S. Willsky
BMCBI
2011
14 years 1 months ago
A Beta-Mixture Model for Dimensionality Reduction, Sample Classification and Analysis
Background: Patterns of genome-wide methylation vary between tissue types. For example, cancer tissue shows markedly different patterns from those of normal tissue. In this paper ...
Kirsti Laurila, Bodil Oster, Claus L. Andersen, Ph...