60 search results - page 8 / 12 » Nonlinear Time-Series Prediction with Missing and Noisy Data |
ICASSP
2011
IEEE
13 years 21 days ago
2011
IEEE
A new method for instantaneous phase tracking of oscillatory signals in a narrow band frequency range is proposed. Empirical mode decomposition (EMD), as an adaptive and data-driv...
AIME
2009
Springer
14 years 1 months ago
2009
Springer
Abstract. Mechanical ventilation can cause severe lung damage by inadequate adjustment of the ventilator. We introduce a Machine Learning approach to predict the pressure-dependent...
TVCG
2010
13 years 7 months ago
2010
—With the proliferation of motion capture data, interest in removing noise and outliers from motion capture data has increased. In this paper, we introduce an efficient human mo...
ICASSP
2010
IEEE
13 years 9 months ago
2010
IEEE
We recently proposed a new algorithm to perform acoustic model adaptation to noisy environments called Linear Spline Interpolation (LSI). In this method, the nonlinear relationshi...
BMCBI
2008
13 years 9 months ago
2008
Background: Modelling the time-related behaviour of biological systems is essential for understanding their dynamic responses to perturbations. In metabolic profiling studies, the...