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KDD
2009
ACM
207views Data Mining» more  KDD 2009»
12 years 14 days ago
DynaMMo: mining and summarization of coevolving sequences with missing values
Given multiple time sequences with missing values, we propose DynaMMo which summarizes, compresses, and finds latent variables. The idea is to discover hidden variables and learn ...
Lei Li, James McCann, Nancy S. Pollard, Christos F...
ICIP
2003
IEEE
12 years 1 months ago
Gesture segmentation in complex motion sequences
Complex human motion sequences (such as dances) are typically analyzed by segmenting them into shorter motion sequences, called gestures. However, this segmentation process is sub...
Kanav Kahol, Priyamvada Tripathi, Sethuraman Panch...
ICDE
2009
IEEE
173views Database» more  ICDE 2009»
12 years 1 months ago
Efficient Processing of Warping Time Series Join of Motion Capture Data
Discovering non-trivial matching subsequences from two time series is very useful in synthesizing novel time series. This can be applied to applications such as motion synthesis wh...
Yueguo Chen, Gang Chen, Ke Chen, Beng Chin Ooi
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