TR2004-054

Finding Temporal Patterns by Data Decomposition

    •  Minnen, D.C., Wren, C.R., "Finding Temporal Patterns by Data Decomposition", IEEE International Conference on Automatic Face and Gesture Recognition (FG), May 2004, pp. 608-613.
      BibTeX TR2004-054 PDF
      • @inproceedings{Minnen2004may,
      • author = {Minnen, D.C. and Wren, C.R.},
      • title = {Finding Temporal Patterns by Data Decomposition},
      • booktitle = {IEEE International Conference on Automatic Face and Gesture Recognition (FG)},
      • year = 2004,
      • pages = {608--613},
      • month = may,
      • isbn = {0-7695-2122-3},
      • url = {https://www.merl.com/publications/TR2004-054}
      • }
  • Research Area:

    Computer Vision

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 disacovery. We present a comparision to related methods on synthetic data sets and on real gestural and pedestrian flow data.

 

  • Related News & Events

    •  NEWS    FG 2004: 2 publications by Hanspeter Pfister, Christopher R. Wren and others
      Date: May 17, 2004
      Where: IEEE International Conference on Automatic Face and Gesture Recognition (FG)
      Brief
      • The papers "Finding Optimal Views for 3D Face Shape Modeling" by Lee, J., Moghaddam, B., Pfister, H. and Machiraju, R. and "Finding Temporal Patterns by Data Decomposition" by Minnen, D.C. and Wren, C.R. were presented at the IEEE International Conference on Automatic Face and Gesture Recognition (FG).
    •