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KDD
2006
ACM
115views Data Mining» more  KDD 2006»
14 years 9 months ago
Supervised probabilistic principal component analysis
Principal component analysis (PCA) has been extensively applied in data mining, pattern recognition and information retrieval for unsupervised dimensionality reduction. When label...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...
ISWC
2006
IEEE
14 years 2 months ago
Discovering Characteristic Actions from On-Body Sensor Data
We present an approach to activity discovery, the unsupervised identification and modeling of human actions embedded in a larger sensor stream. Activity discovery can be seen as ...
David Minnen, Thad Starner, Irfan A. Essa, Charles...
SIGIR
2004
ACM
14 years 2 months ago
A search engine for historical manuscript images
Many museum and library archives are digitizing their large collections of handwritten historical manuscripts to enable public access to them. These collections are only available...
Toni M. Rath, R. Manmatha, Victor Lavrenko
ICCV
2003
IEEE
14 years 10 months ago
Graph Partition by Swendsen-Wang Cuts
Vision tasks, such as segmentation, grouping, recognition, can be formulated as graph partition problems. The recent literature witnessed two popular graph cut algorithms: the Ncu...
Adrian Barbu, Song Chun Zhu
CVPR
2007
IEEE
14 years 11 months ago
Learning and Matching Line Aspects for Articulated Objects
Traditional aspect graphs are topology-based and are impractical for articulated objects. In this work we learn a small number of aspects, or prototypical views, from video data. ...
Xiaofeng Ren