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CVPR
2005
IEEE
14 years 11 months ago
A Sparse Object Category Model for Efficient Learning and Exhaustive Recognition
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a semisupervised manner: the model is learnt from example ...
Robert Fergus, Pietro Perona, Andrew Zisserman
BCSHCI
2008
13 years 10 months ago
Efficiency of multimodal metaphors in the presentation of learning information
The comparative study described in this paper has been conducted to investigate the effect of including multimodal metaphors on the usability of e-learning interfaces. Two indepen...
Marwan Alseid, Dimitrios Rigas
ECCV
2010
Springer
13 years 11 months ago
Descriptor Learning for Efficient Retrieval
Many visual search and matching systems represent images using sparse sets of "visual words": descriptors that have been quantized by assignment to the best-matching symb...
ICPR
2010
IEEE
13 years 7 months ago
An Efficient and Stable Algorithm for Learning Rotations
This paper analyses the computational complexity and stability of an online algorithm recently proposed for learning rotations. The proposed algorithm involves multiplicative upda...
Raman Arora, William A. Sethares
KDD
2009
ACM
227views Data Mining» more  KDD 2009»
14 years 9 months ago
Efficiently learning the accuracy of labeling sources for selective sampling
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider