319 search results - page 15 / 64 » Learning Nonlinear Manifolds from Time Series |
ICDM
2006
IEEE
15 years 3 months ago
2006
IEEE
In this paper, we propose a novel and general approach for time-series data mining. As an alternative to traditional ways of designing specific algorithm to mine certain kind of ...
COMPLEX
2009
Springer
15 years 4 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 ...
AUSAI
2006
Springer
15 years 1 months ago
2006
Springer
A novel type of higher order pipelined neural network, the polynomial pipelined neural network, is presented. The network is constructed from a number of higher order neural networ...
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
We propose a novel algorithm for clustering data sampled from multiple submanifolds of a Riemannian manifold. First, we learn a representation of the data using generalizations of...
NCA
2008
IEEE
14 years 9 months ago
2008
IEEE
Motivated by the slow learning properties of multilayer perceptrons (MLPs) which utilize computationally intensive training algorithms, such as the backpropagation learning algorit...