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ICML
2009
IEEE
14 years 9 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
WABI
2007
Springer
110views Bioinformatics» more  WABI 2007»
14 years 3 months ago
Haplotype Inference Via Hierarchical Genotype Parsing
The within-species genetic variation due to recombinations leads to a mosaic-like structure of DNA. This structure can be modeled, e.g. by parsing sample sequences of current DNA w...
Pasi Rastas, Esko Ukkonen
EUROPAR
2001
Springer
14 years 1 months ago
Self-Organizing Hierarchical Cluster Timestamps
Distributed-system observation tools require an efficient data structure to store and query the partial-order of execution. Such data structures typically use vector timestamps to...
Paul A. S. Ward, David J. Taylor
ROMAN
2007
IEEE
127views Robotics» more  ROMAN 2007»
14 years 3 months ago
Incremental on-line hierarchical clustering of whole body motion patterns
Abstract— This paper describes a novel algorithm for autonomous and incremental learning of motion pattern primitives by observation of human motion. Human motion patterns are ed...
Dana Kulic, Wataru Takano, Yoshihiko Nakamura
ICDM
2002
IEEE
143views Data Mining» more  ICDM 2002»
14 years 1 months ago
Automatic Web Page Classification in a Dynamic and Hierarchical Way
Automatic classification of web pages is an effective way to deal with the difficulty of retrieving information from the Internet. Although there are many automatic classification...
Xiaogang Peng, Ben Choi