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» Using Fuzzy Clustering Technique for Function Approximation ...
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ISNN
2007
Springer
14 years 1 months ago
Recurrent Fuzzy CMAC for Nonlinear System Modeling
Normal fuzzy CMAC neural network performs well because of its fast learning speed and local generalization capability for approximating nonlinear functions. However, it requires hu...
Floriberto Ortiz Rodriguez, Wen Yu, Marco A. Moren...
ICASSP
2009
IEEE
14 years 2 months ago
Comparison of scoring methods used in speaker recognition with Joint Factor Analysis
The aim of this paper is to compare different log-likelihood scoring methods, that different sites used in the latest state-of-the-art Joint Factor Analysis (JFA) Speaker Recognit...
Ondrej Glembek, Lukas Burget, Najim Dehak, Niko Br...
SIGMOD
2009
ACM
155views Database» more  SIGMOD 2009»
14 years 7 months ago
Efficient top-k algorithms for fuzzy search in string collections
An approximate search query on a collection of strings finds those strings in the collection that are similar to a given query string, where similarity is defined using a given si...
Rares Vernica, Chen Li
ICIP
2005
IEEE
14 years 9 months ago
Sampling schemes for 2-D signals with finite rate of innovation using kernels that reproduce polynomials
In this paper, we propose new sampling schemes for classes of 2-D signals with finite rate of innovation (FRI). In particular, we consider sets of 2-D Diracs and bilevel polygons....
Pancham Shukla, Pier Luigi Dragotti
ALMOB
2006
109views more  ALMOB 2006»
13 years 7 months ago
A novel functional module detection algorithm for protein-protein interaction networks
Background: The sparse connectivity of protein-protein interaction data sets makes identification of functional modules challenging. The purpose of this study is to critically eva...
Woochang Hwang, Young-Rae Cho, Aidong Zhang, Mural...