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
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;
Conference_Titel :
Automatic Face and Gesture Recognition, 2004. Proceedings. Sixth IEEE International Conference on
Print_ISBN :
0-7695-2122-3
DOI :
10.1109/AFGR.2004.1301600
