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» Combining Model Reductions
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156
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EGICE
2006
15 years 7 months ago
Combining Two Data Mining Methods for System Identification
System identification is an abductive task which is affected by several kinds of modeling assumptions and measurement errors. Therefore, instead of optimizing values of parameters ...
Sandro Saitta, Benny Raphael, Ian F. C. Smith
178
Voted
TACAS
2000
Springer
151views Algorithms» more  TACAS 2000»
15 years 7 months ago
Salsa: Combining Constraint Solvers with BDDs for Automatic Invariant Checking
Salsa is an invariant checker for speci cations in SAL the SCR Abstract Language. To establish a formula as an invariant without any user guidance Salsa carries out an induction pr...
Ramesh Bharadwaj, Steve Sims
151
Voted
ICB
2009
Springer
173views Biometrics» more  ICB 2009»
15 years 1 months ago
Bayesian Networks to Combine Intensity and Color Information in Face Recognition
We present generative models dedicated to face recognition. Our models consider data extracted from color face images and use Bayesian Networks to model relationships between diffe...
Guillaume Heusch, Sébastien Marcel
125
Voted
ICASSP
2011
IEEE
14 years 7 months ago
A flexible Speech Distortion Weighted Multi-channel Wiener Filter for noise reduction in hearing aids
In this paper, a multi-channel noise reduction algorithm is presented based on a Speech Distortion Weighted Multi-channel Wiener Filter (SDW-MWF) approach that incorporates a fle...
Kim Ngo, Marc Moonen, Søren Holdt Jensen, J...
156
Voted
ACMACE
2007
ACM
15 years 7 months ago
Application of dimensionality reduction techniques to HRTFS for interactive virtual environments
Fundamental to the generation of 3D audio is the HRTF processing of acoustical signals. Unfortunately, given the high dimensionality of HRTFs, incorporating them into dynamic/inte...
Bill Kapralos, Nathan Mekuz