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» Hierarchical Voting Experts: An Unsupervised Algorithm for S...
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IDA
2007
Springer
13 years 4 months ago
Voting experts: An unsupervised algorithm for segmenting sequences
We describe a statistical signature of chunks and an algorithm for finding chunks. While there is no formal definition of chunks, they may be reliably identified as configurat...
Paul R. Cohen, Niall M. Adams, Brent Heeringa
ICIP
1997
IEEE
14 years 6 months ago
An Optimization Approach to Unsupervised Hierarchical Texture Segmentation
In this paper we introduce a novel optimization framework for hierarchical data clustering and apply it to the problem of unsupervised texture segmentation. The proposed objective...
Thomas Hofmann, Jan Puzicha, Joachim M. Buhmann
ICDM
2009
IEEE
97views Data Mining» more  ICDM 2009»
13 years 11 months ago
Hierarchical Probabilistic Segmentation of Discrete Events
—Segmentation, the task of splitting a long sequence of discrete symbols into chunks, can provide important information about the nature of the sequence that is understandable to...
Guy Shani, Christopher Meek, Asela Gunawardana
ICML
2009
IEEE
14 years 5 months ago
Unsupervised hierarchical modeling of locomotion styles
This paper describes an unsupervised learning technique for modeling human locomotion styles, such as distinct related activities (e.g. running and striding) or variations of the ...
Wei Pan, Lorenzo Torresani