ICCV
2011
IEEE
13 years 14 days ago
2011
IEEE
We address the problem of learning view-invariant 3D models of human motion from motion capture data, in order to recognize human actions from a monocular video sequence with arbi...
EUSFLAT
2009
13 years 10 months ago
2009
This article deals with the recognition of recurring multivariate time series patterns modelled sample-point-wise by parametric fuzzy sets. An efficient classification-based approa...
ARTMED
2002
14 years 9 days ago
2002
In bio-medical domains there are many applications involving the modelling of multivariate time series (MTS) data. One area that has been largely overlooked so far is the particul...
NC
2006
14 years 11 days ago
2006
Multivariate Time Series (MTS) data are widely available in different fields including medicine, finance, bioinformatics, science and engineering. Modelling MTS data accurately is...
CORR
2007
Springer
14 years 12 days ago
2007
Springer
Given multivariate time series, we study the problem of forming portfolios with maximum mean reversion while constraining the number of assets in these portfolios. We show that it...
CSDA
2010
14 years 16 days ago
2010
We introduce robust regression-based online filters for multivariate time series and discuss their performance in real time signal extraction settings. We focus on methods that ca...
SYRCODIS
2007
14 years 1 months ago
2007
A problem of association rules discovery in a multivariate time series is considered in this paper. A method for finding interpretable association rules between frequent qualitati...
AAAI
2000
14 years 1 months ago
2000
We present a Bayesian clustering algorithm for multivariate time series. A clustering is regarded as a probabilistic model in which the unknown auto-correlation structure of a tim...
SSDBM
1994
IEEE
14 years 4 months ago
1994
IEEE
The analysis of time series is a central issue in economic research and many other scientific applications. However, the data management functionality for this field is not provid...
ECML
1997
Springer
14 years 4 months ago
1997
Springer
Abstract. E cient data mining algorithms are crucial fore ective knowledge discovery. We present the Multi-Stream Dependency Detection (msdd) data mining algorithm that performs a ...