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» Universal Sparse Modeling
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83
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ESANN
2008
15 years 2 months ago
Using graph-theoretic measures to predict the performance of associative memory models
We test a selection of associative memory models built with different connection strategies, exploring the relationship between the structural properties of each network and its pa...
Lee Calcraft, Rod Adams, Weiliang Chen, Neil Davey
120
Voted
ICIP
2009
IEEE
16 years 1 months ago
Image Restoration By Mixture Modelling Of An Overcomplete Linear Representation
We present a new image restoration method based on modelling the coefficients of an overcomplete wavelet response to natural images with a mixture of two Gaussian distributions, h...
91
Voted
ICTAI
2003
IEEE
15 years 6 months ago
Adaptive Modeling of Biochemical Pathways
In bioinformatics, biochemical pathways can be modeled by many differential equations. It is still an open problem how to fit the huge amount of parameters of the equations to the...
Rüdiger W. Brause
ER
2004
Springer
103views Database» more  ER 2004»
15 years 6 months ago
Modeling Default Induction with Conceptual Structures
Our goal is to model the way people induce knowledge from rare and sparse data. This paper describes a theoretical framework for inducing knowledge from these incomplete data descr...
Julien Velcin, Jean-Gabriel Ganascia
98
Voted
VOSS
2004
Springer
118views Mathematics» more  VOSS 2004»
15 years 6 months ago
Serial Disk-based Analysis of Large Stochastic Models
Abstract. The paper presents a survey of out-of-core methods available for the analysis of large Markov chains on single workstations. First, we discuss the main sparse matrix stor...
Rashid Mehmood