187 search results - page 29 / 38 » Nonlinear Component Analysis as a Kernel Eigenvalue Problem |
84
Voted
JMLR
2008
14 years 11 months ago
2008
The statistical problem of estimating the effective dimension-reduction (EDR) subspace in the multi-index regression model with deterministic design and additive noise is consider...
112
Voted
SIAMAM
2008
14 years 11 months ago
2008
Neural fields are an interesting option for modelling macroscopic parts of the cortex involving several populations of neurons, like cortical areas. Two classes of neural field equ...
MICAI
2000
Springer
15 years 3 months ago
2000
Springer
The Principal Components Analysis (PCA) is one of the most successfull techniques that have been used to recognize faces in images. This technique consists of extracting the eigenv...
SIAMREV
2010
14 years 6 months ago
2010
Suppose x and y are unit 2-norm n-vectors whose components sum to zero. Let P(x, y) be the polygon obtained by connecting (x1, y1), . . . , (xn, yn), (x1, y1) in order. We say that...
PKDD
2009
Springer
15 years 6 months ago
2009
Springer
We consider causally sufficient acyclic causal models in which the relationship among the variables is nonlinear while disturbances have linear effects, and show that three princi...