8 search results - page 2 / 2 » Maximum-likelihood period estimation from sparse, noisy timi... |
ICCV
1999
IEEE
13 years 8 months ago
1999
IEEE
We present a novel, efficient, initializationfree approach to the problem of epipolar geometry estimation, by formulating it as one of hyperplane inference from a sparse and noisy...
MICCAI
2002
Springer
14 years 5 months ago
2002
Springer
Abstract. A stochastic finite element method (SFEM) based framework is proposed for the simultaneous estimation of cardiac kinematics functions and material model parameters. While...
COMPLEX
2009
Springer
13 years 11 months ago
2009
Springer
We introduce transformations from time series data to the domain of complex networks which allow us to characterise the dynamics underlying the time series in terms of topological ...