2878 search results - page 287 / 576 » Learning the Common Structure of Data |
233
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ECCV
2008
Springer
15 years 8 months ago
2008
Springer
We derive a probabilistic framework for robust, real-time, visual tracking of previously unseen objects from a moving camera. The tracking problem is handled using a bag-of-pixels ...
184
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ICML
2010
IEEE
15 years 7 months ago
2010
IEEE
Deep Belief Networks (DBNs) are hierarchical generative models which have been used successfully to model high dimensional visual data. However, they are not robust to common vari...
230
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DAGM
2011
Springer
14 years 6 months ago
2011
Springer
Conditional Random Fields (CRFs) are popular models in computer vision for solving labeling problems such as image denoising. This paper tackles the rarely addressed but important ...
184
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PAKDD
2004
ACM
15 years 12 months ago
2004
ACM
In many cases, normal uses of a system form patterns that will repeat. The most common patterns can be collected into a prediction model which will essentially predict that usage p...
144
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WEBDB
2009
Springer
16 years 1 months ago
2009
Springer
Loosely structured heterogeneous information spaces are typically created by merging data from a variety of different applications and information sources. A common problem these...