319 search results - page 16 / 64 » Learning Nonlinear Manifolds from Time Series |
109
click to vote
KDD
2008
ACM
15 years 10 months ago
2008
ACM
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
151
click to vote
ISNN
2011
Springer
14 years 15 days ago
2011
Springer
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
87
Voted
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
Learning temporal causal graph structures from multivariate time-series data reveals important dependency relationships between current observations and histories, and provides a ...
87
Voted
CVPR
2006
IEEE
15 years 11 months ago
2006
IEEE
Dimensionality reduction involves mapping a set of high dimensional input points onto a low dimensional manifold so that "similar" points in input space are mapped to ne...
IGARSS
2009
14 years 7 months ago
2009
It is proposed that the NDVI time series derived from MODIS multitemporal remote sensing data can be modelled as a triply (mean, phase and amplitude) modulated cosine function. A ...