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130
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DCC
2006
IEEE
16 years 4 months ago
2006
IEEE
The use of compression algorithms in machine learning tasks such as clustering and classification has appeared in a variety of fields, sometimes with the promise of reducing probl...
138
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ICCV
2009
IEEE
16 years 9 months ago
2009
IEEE
With the recent efforts made by computer vision researchers,
more and more types of features have been designed
to describe various aspects of visual characteristics.
Modeling s...
149
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SDM
2010
SIAM
15 years 5 months ago
2010
SIAM
We present Confidence-based Feature Acquisition (CFA), a novel supervised learning method for acquiring missing feature values when there is missing data at both training and test...
158
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CVPR
2011
IEEE
15 years 18 days ago
2011
IEEE
Visual attributes expose human-defined semantics to object recognition models, but existing work largely restricts their influence to mid-level cues during classifier training....
129
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ICCV
2001
IEEE
16 years 6 months ago
2001
IEEE
We introduce `Joint Feature Distributions', a general statistical framework for feature based multi-image matching that explicitly models the joint probability distributions ...