440 search results - page 26 / 88 » Learning Nonlinear Dynamic Models from Non-sequenced Data |
ASC
2008
13 years 7 months ago
2008
Most data mining algorithms assume static behavior of the incoming data. In the real world, the situation is different and most continuously collected data streams are generated by...
SCIA
2007
Springer
14 years 1 months ago
2007
Springer
In this work1 a combination of depth and silhouette information is presented to track the motion of a human from a single view. Depth data is acquired from a Photonic Mixer Device ...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
We propose a kernelized maximal-figure-of-merit (MFoM) learning approach to efficiently training a nonlinear model using subspace distance minimization. In particular, a fixed,...
MICCAI
2009
Springer
14 years 8 months ago
2009
Springer
Pulmonary valve disease affects a significant portion of the global population and often occurs in conjunction with other heart dysfunctions. Emerging interventional methods enable...