319 search results - page 27 / 64 » Learning Nonlinear Manifolds from Time Series |
NIPS
1998
14 years 11 months ago
1998
A common way to represent a time series is to divide it into shortduration blocks, each of which is then represented by a set of basis functions. A limitation of this approach, ho...
FLAIRS
2001
14 years 11 months ago
2001
: This paper describes a long-terra project to install socially interactive, autonomousmobile robots in public spaces. We have deployed four robots over the last three years, accum...
112
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ICTAI
2005
IEEE
15 years 3 months ago
2005
IEEE
A hybrid learning neuro-fuzzy system with asymmetric fuzzy sets (HLNFS-A) is proposed in this paper. The learning methods of random optimization (RO) and least square estimation (...
71
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ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
This paper presents a Support Vector Method for optimizing multivariate nonlinear performance measures like the F1score. Taking a multivariate prediction approach, we give an algo...
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
Human action video sequences can be considered as nonlinear dynamic shape manifolds in the space of image frames. In this paper, we address learning and classifying human actions ...