168 search results - page 1 / 34 » Parametrization of Linear Systems Using Diffusion Kernels |
TSP
2012
11 years 12 months ago
2012
—Modeling natural and artificial systems has played a key role in various applications and has long been a task that has drawn enormous efforts. In this work, instead of explori...
NIPS
2004
13 years 5 months ago
2004
We present an algorithm based on convex optimization for constructing kernels for semi-supervised learning. The kernel matrices are derived from the spectral decomposition of grap...
CDC
2009
IEEE
13 years 8 months ago
2009
IEEE
This paper adresses the variance quantification problem for system identification based on the prediction error framework. The role of input and model class selection for the auto-...
ICCV
2001
IEEE
14 years 6 months ago
2001
IEEE
Diffusion processes which are widely used in low level vision are presented as a result of an underlying stochastic process. The short-time non-linear diffusion is interpreted as ...
AUTOMATICA
2010
13 years 4 months ago
2010
This paper describes a new kernel-based approach for linear system identification of stable systems. We model the impulse response as the realization of a Gaussian process whose s...