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» On Computing Functions with Uncertainty
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ICCV
2003
IEEE
16 years 9 months ago
A Bayesian Approach to Unsupervised One-Shot Learning of Object Categories
Learning visual models of object categories notoriously requires thousands of training examples; this is due to the diversity and richness of object appearance which requires mode...
Fei-Fei Li 0002, Robert Fergus, Pietro Perona
242
Voted
ICCV
2003
IEEE
16 years 9 months ago
Epitomic analysis of appearance and shape
See www.research.microsoft.com/jojic/epitome.htm for videos, comparisons and applications. We present novel simple appearance and shape models that we call epitomes. The epitome o...
Nebojsa Jojic, Brendan J. Frey, Anitha Kannan
240
Voted
ICCV
2003
IEEE
16 years 9 months ago
Surface Reconstruction by Integrating 3D and 2D Data of Multiple Views
Surface representation is needed for almost all modeling and visualization applications, but unfortunately, 3D data from a passive vision system are often insufficient for a tradi...
Maxime Lhuillier, Long Quan
200
Voted
ICCV
2003
IEEE
16 years 9 months ago
Minimally-Supervised Classification using Multiple Observation Sets
This paper discusses building complex classifiers from a single labeled example and vast number of unlabeled observation sets, each derived from observation of a single process or...
Chris Stauffer
229
Voted
ICCV
2001
IEEE
16 years 9 months ago
Incorporating Differential Constraints in a 3D Reconstruction Process. Application to Stereo
We propose to incorporate a priori geometric constraints in a 3?D stereo reconstruction scheme to cope with the many cases where image information alone is not sufficient to accur...
Richard Lengagne, Pascal Fua
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