319 search results - page 46 / 64 » Learning Nonlinear Manifolds from Time Series |
WACV
2005
IEEE
15 years 3 months ago
2005
IEEE
As tracking systems become more effective at reliably tracking multiple objects over extended periods of time within single camera views and across overlapping camera views, incre...
CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
Recognition of signs in sentences requires a training
set constructed out of signs found in continuous sentences.
Currently, this is done manually, which is a tedious process.
I...
AVSS
2007
IEEE
15 years 4 months ago
2007
IEEE
In multi-camera networks rich visual data is provided both spatially and temporally. In this paper a method of human posture estimation is described incorporating the concept of a...
ICASSP
2011
IEEE
14 years 1 months 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...
CORR
2008
Springer
14 years 9 months ago
2008
Springer
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...