68 search results - page 7 / 14 » Recognition by Variance: Learning Rules for Spatiotemporal P... |
GIS
2009
ACM
13 years 11 months ago
2009
ACM
The paper presents a framework for semi-supervised nonlinear embedding methods useful for exploratory analysis and visualization of spatio-temporal network data. The method provid...
CVPR
2007
IEEE
14 years 2 months ago
2007
IEEE
In this paper, a generic rule induction framework based on trajectory series analysis is proposed to learn the event rules. First the trajectories acquired by a tracking system ar...
ICCV
2005
IEEE
14 years 1 months ago
2005
IEEE
In this paper we develop a system for human behaviour recognition in video sequences. Human behaviour is modelled as a stochastic sequence of actions. Actions are described by a f...
IJDAR
2002
13 years 7 months ago
2002
Abstract. This paper describes a performance evaluation study in which some efficient classifiers are tested in handwritten digit recognition. The evaluated classifiers include a s...
CIARP
2008
Springer
13 years 9 months ago
2008
Springer
The performance of supervised learners depends on the presence of a relatively large labeled sample. This paper proposes an automatic ongoing learning system, which is able to inco...