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NECO
2000
190views more  NECO 2000»
13 years 10 months ago
Generalized Discriminant Analysis Using a Kernel Approach
We present a new method that we call Generalized Discriminant Analysis (GDA) to deal with nonlinear discriminant analysis using kernel function operator. The underlying theory is ...
G. Baudat, Fatiha Anouar
IJON
2002
65views more  IJON 2002»
13 years 9 months ago
A general framework for neurobiological modeling: an application to the vestibular system
The otolith organs in the vestibular system are excellent detectors of linear accelerations. However, any measurement of linear acceleration is ambiguous between a tilt in a gravi...
Chris Eliasmith, M. Brandon Westover, Charles H. A...
CGF
1999
86views more  CGF 1999»
13 years 9 months ago
Generalized View-Dependent Simplification
We propose a technique for performing view-dependent geometry and topology simplifications for level-of-detailbased renderings of large models. The algorithm proceeds by preproces...
Jihad El-Sana, Amitabh Varshney
TSMC
2002
102views more  TSMC 2002»
13 years 9 months ago
Generalized pursuit learning schemes: new families of continuous and discretized learning automata
The fastest learning automata (LA) algorithms currently available fall in the family of estimator algorithms introduced by Thathachar and Sastry [24]. The pioneering work of these ...
M. Agache, B. John Oommen
RC
2007
128views more  RC 2007»
13 years 9 months ago
Bounds on Generalized Linear Predictors with Incomplete Outcome Data
This paper develops easily computed, tight bounds on Generalized Linear Predictors and instrumental variable estimators when outcome data are partially identi…ed. A salient exam...
Jörg Stoye