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» Discovering Clusters in Motion Time-Series Data
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AMDO
2006
Springer
13 years 9 months ago
Finding Articulated Body in Time-Series Volume Data
This paper presents a new scheme for acquiring 3D kinematic structure and motion from time-series volume data, in particular, focusing on human body. Our basic strategy is to first...
Tomoyuki Mukasa, Shohei Nobuhara, Atsuto Maki, Tak...
FSKD
2005
Springer
267views Fuzzy Logic» more  FSKD 2005»
13 years 10 months ago
Preventing Meaningless Stock Time Series Pattern Discovery by Changing Perceptually Important Point Detection
Discovery of interesting or frequently appearing time series patterns is one of the important tasks in various time series data mining applications. However, recent research critic...
Tak-Chung Fu, Fu-Lai Chung, Robert W. P. Luk, Chak...
ICONIP
2008
13 years 6 months ago
Time Series Analysis for Long Term Prediction of Human Movement Trajectories
This paper's intention is to adapt prediction algorithms well known in the field of time series analysis to problems being faced in the field of mobile robotics and Human-Robo...
Sven Hellbach, Julian Eggert, Edgar Körner, H...
KDD
2010
ACM
199views Data Mining» more  KDD 2010»
13 years 9 months ago
Online discovery and maintenance of time series motifs
The detection of repeated subsequences, time series motifs, is a problem which has been shown to have great utility for several higher-level data mining algorithms, including clas...
Abdullah Mueen, Eamonn J. Keogh
ICDE
2005
IEEE
185views Database» more  ICDE 2005»
14 years 6 months ago
A Multiresolution Symbolic Representation of Time Series
Efficiently and accurately searching for similarities among time series and discovering interesting patterns is an important and non-trivial problem. In this paper, we introduce a...
Vasileios Megalooikonomou, Qiang Wang, Guo Li, Chr...