319 search results - page 34 / 64 » Learning Nonlinear Manifolds from Time Series |
85
Voted
ECAI
2004
Springer
15 years 3 months ago
2004
Springer
Advances in data collection technologies allow accumulation of large and high dimensional datasets and provide opportunities for learning high quality classification and regression...
62
Voted
AAAI
2008
14 years 12 months ago
2008
Machine learning approaches to indoor WiFi localization involve an offline phase and an online phase. In the offline phase, data are collected from an environment to build a local...
114
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CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
System theoretic approaches to action recognition model the dynamics of a scene with linear dynamical systems (LDSs) and perform classification using metrics on the space of LDSs, ...
ICDM
2009
IEEE
14 years 7 months ago
2009
IEEE
Abstract--Imbalanced data sets present a particular challenge to the data mining community. Often, it is the rare event that is of interest and the cost of misclassifying the rare ...
ESANN
2003
14 years 11 months ago
2003
In this paper fully connected RTRL neural networks are studied. In order to learn dynamical behaviours of linear-processes or to predict time series, an autonomous learning algori...