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PRL
2010
209views more  PRL 2010»
13 years 19 hour ago
Efficient update of the covariance matrix inverse in iterated linear discriminant analysis
For fast classification under real-time constraints, as required in many imagebased pattern recognition applications, linear discriminant functions are a good choice. Linear discr...
Jan Salmen, Marc Schlipsing, Christian Igel
ICONIP
1998
13 years 6 months ago
Computing Iterative Roots with Neural Networks
Many real processes are composed of a n-fold repetition of some simpler process. If the whole process can be modelled with a neural network, we present a method to derive a model ...
Lars Kindermann
BMCBI
2004
150views more  BMCBI 2004»
13 years 5 months ago
Graph-based iterative Group Analysis enhances microarray interpretation
Background: One of the most time-consuming tasks after performing a gene expression experiment is the biological interpretation of the results by identifying physiologically impor...
Rainer Breitling, Anna Amtmann, Pawel Herzyk
ICASSP
2011
IEEE
12 years 9 months ago
Joint source-filter modeling using flexible basis functions
Improving on recent work on joint source-filter analysis of speech waveforms, we explore improvements to an autoregressive model with exogenous inputs represented by flexible ba...
Daryush D. Mehta, Daniel Rudoy, Patrick J. Wolfe
DAC
2001
ACM
14 years 6 months ago
Efficient Large-Scale Power Grid Analysis Based on Preconditioned Krylov-Subspace Iterative Methods
In this paper, we propose preconditioned Krylov-subspace iterative methods to perform efficient DC and transient simulations for large-scale linear circuits with an emphasis on po...
Tsung-Hao Chen, Charlie Chung-Ping Chen