1364 search results - page 256 / 273 » Sampling Methods for Unsupervised Learning |
100
Voted
MM
2009
ACM
15 years 5 months ago
2009
ACM
In this paper, we exploit the problem of inferring images’ semantic concepts from community-contributed images and their associated noisy tags. To infer the concepts more accura...
117
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SCALESPACE
2007
Springer
15 years 5 months ago
2007
Springer
This paper presents a statistical model for textures that uses a non-negative decomposition on a set of local atoms learned from an exemplar. This model is described by the varianc...
149
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FOCS
2010
IEEE
14 years 9 months ago
2010
IEEE
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...
ECML
2001
Springer
15 years 3 months ago
2001
Springer
Labeled data for classification could often be obtained by sampling that restricts or favors choice of certain classes. A classifier trained using such data will be biased, resulti...
89
Voted
ML
2006
ACM
14 years 11 months ago
2006
ACM
Most game programs have a large number of parameters that are crucial for their performance. While tuning these parameters by hand is rather difficult, efficient and easy to use ge...