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3DOR
2010
13 years 3 months ago
Learning the Compositional Structure of Man-Made Objects for 3D Shape Retrieval
While approaches based on local features play a more and more important role for 3D shape retrieval, the problems of feature selection and similarity measurement between sets of l...
Raoul Wessel, Reinhard Klein
ICCV
2007
IEEE
14 years 10 months ago
Learning Auto-Structured Regressor from Uncertain Nonnegative Labels
In this paper, we take the human age and pose estimation problems as examples to study automatic designing regressor from training samples with uncertain nonnegative labels. First...
Shuicheng Yan, Huan Wang, Xiaoou Tang, Thomas S. H...
SDM
2011
SIAM
256views Data Mining» more  SDM 2011»
12 years 11 months ago
Temporal Structure Learning for Clustering Massive Data Streams in Real-Time
This paper describes one of the first attempts to model the temporal structure of massive data streams in real-time using data stream clustering. Recently, many data stream clust...
Michael Hahsler, Margaret H. Dunham
ACL
2006
13 years 9 months ago
Learning the Structure of Task-Driven Human-Human Dialogs
Abstract--With the availability of large corpora of spoken dialog, it is now possible to use data-driven techniques to build and use models of task-oriented dialogs. In this paper,...
Srinivas Bangalore, Giuseppe Di Fabbrizio, Amanda ...
PERCOM
2007
ACM
14 years 7 months ago
Structural Learning of Activities from Sparse Datasets
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...
Fahd Albinali, Nigel Davies, Adrian Friday