DocumentCode
3024007
Title
Finding temporal patterns by data decomposition
Author
Minnen, David C. ; Wren, Christopher R.
Author_Institution
Coll. of Comput., Georgia Inst. of Technol., Atlanta, GA, USA
fYear
2004
fDate
17-19 May 2004
Firstpage
608
Lastpage
613
Abstract
We present a new unsupervised learning technique for the discovery of temporal clusters in large data sets. Our method performs hierarchical decomposition of the data to find structure at many levels of detail and to reduce the overall computational cost of pattern discovery. We present a comparison to related methods on synthetic data sets and on real gestural and pedestrian flow data.
Keywords
data mining; gesture recognition; pattern clustering; unsupervised learning; data decomposition; gestural flow data; pattern discovery; pedestrian flow data; temporal clusters; unsupervised learning technique; Buildings; Computational efficiency; Drives; Educational institutions; Embedded system; Hidden Markov models; Humans; Laboratories; Pattern recognition; Sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Automatic Face and Gesture Recognition, 2004. Proceedings. Sixth IEEE International Conference on
Print_ISBN
0-7695-2122-3
Type
conf
DOI
10.1109/AFGR.2004.1301600
Filename
1301600
Link To Document