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» Learning from Highly Structured Data by Decomposition
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ICML
2009
IEEE
16 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
140
Voted
UM
2007
Springer
15 years 10 months ago
Inducing User Affect Recognition Models for Task-Oriented Environments
Accurately recognizing users’ affective states could contribute to more productive and enjoyable interactions, particularly for task-oriented learning environments. In addition t...
Sunyoung Lee, Scott W. McQuiggan, James C. Lester
158
Voted
RSCTC
1998
Springer
175views Fuzzy Logic» more  RSCTC 1998»
15 years 8 months ago
Business Process Understanding: Mining Many Datasets
Abstract. Institutional databases can be instrumental in understanding a business process, but additional data may broaden the empirical perspective on the investigated process. We...
Jan M. Zytkow, Arun P. Sanjeev
ICDM
2009
IEEE
148views Data Mining» more  ICDM 2009»
15 years 11 months ago
Online System Problem Detection by Mining Patterns of Console Logs
Abstract—We describe a novel application of using data mining and statistical learning methods to automatically monitor and detect abnormal execution traces from console logs in ...
Wei Xu, Ling Huang, Armando Fox, David Patterson, ...
151
Voted
DGCI
2006
Springer
15 years 8 months ago
A Network Flow Algorithm for Binary Image Reconstruction from Few Projections
Tomography deals with the reconstruction of images from their projections. In this paper we focus on tomographic reconstruction of binary images (i.e., black-and-white) that do not...
Kees Joost Batenburg