319 search results - page 36 / 64 » Learning Nonlinear Manifolds from Time Series |
ICDM
2009
IEEE
15 years 4 months ago
2009
IEEE
: In this paper, we present a novel method for fast data-driven construction of regression trees from temporal datasets including continuous data streams. The proposed Mean Output ...
ICASSP
2008
IEEE
15 years 4 months ago
2008
IEEE
A novel approach to measure the interdependence of time series is proposed, based on the alignment (“matching”) of their Huang-Hilbert spectra. The method consists of three st...
TIDSE
2004
Springer
15 years 3 months ago
2004
Springer
Any movie production needs a whole group of contributing authors and creative artists from various fields. The same should obviously be true for the making of a compelling VR scena...
JMLR
2002
14 years 9 months ago
2002
The temporal distance between events conveys information essential for numerous sequential tasks such as motor control and rhythm detection. While Hidden Markov Models tend to ign...
IWANN
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. This paper presents k-NN as an approximator for time series prediction problems. The main advantage of this approximator is its simplicity. Despite the simplicity, k-NN c...