22 search results - page 2 / 5 » Gaussian Laws for the Main Parameters of the Euclid Algorith... |
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
The main contribution presented here is an adaptive/unsupervised iterative thresholding algorithm for sparse representation of signals which can be modeled as the sum of two compo...
SOCO
2008
Springer
13 years 5 months ago
2008
Springer
We introduce a new method for data clustering based on a particular Gaussian mixture model (GMM). Each cluster of data, modeled as a GMM into an input space, is interpreted as a hy...
ICPR
2008
IEEE
14 years 6 days ago
2008
IEEE
This paper 1 proposes a technique for simplifying a given Gaussian mixture model, i.e. reformulating the density in a more parcimonious manner, if possible (less Gaussian componen...
NIPS
2008
13 years 7 months ago
2008
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
CEC
2007
IEEE
2007
IEEE
Optimizing low-thrust gravity assist interplanetary trajectories using evolutionary neurocontrollers
13 years 9 months ago
The combination of low-thrust propulsion and gravity assists allows designing high-energy missions. However the optimization of such trajectories is no trivial task. In this paper,...