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» Efficient Learning of Relational Object Class Models
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TSP
2010
14 years 9 months ago
Learning graphical models for hypothesis testing and classification
Sparse graphical models have proven to be a flexible class of multivariate probability models for approximating high-dimensional distributions. In this paper, we propose techniques...
Vincent Y. F. Tan, Sujay Sanghavi, John W. Fisher ...
CVPR
2009
IEEE
16 years 10 months ago
Co-training with Noisy Perceptual Observations
Many perception and multimedia indexing problems involve datasets that are naturally comprised of multiple streams or modalities for which supervised training data is only sparsely...
Ashish Kapoor, Chris Mario Christoudias, Raquel Ur...
CVPR
2009
IEEE
1002views Computer Vision» more  CVPR 2009»
16 years 10 months ago
Classifier Grids for Robust Adaptive Object Detection
In this paper we present an adaptive but robust object detector for static cameras by introducing classifier grids. Instead of using a sliding window for object detection we pro...
Peter M. Roth, Sabine Sternig, Helmut Grabner, Hor...
DAGSTUHL
2006
15 years 4 months ago
Recent Results in Universal and Non-Universal Induction
We present and relate recent results in prediction based on countable classes of either probability (semi-)distributions or base predictors. Learning by Bayes, MDL, and stochastic ...
Jan Poland
BDA
2004
15 years 4 months ago
Indexing XML Objects with Ordered Schema Trees
: XML DBMSs require new indexing techniques to efficiently process structural search and full-text search as integrated in XQuery. Much research has been done for indexing XML docu...
Laurent Yeh, Georges Gardarin