616 search results - page 41 / 124 » Learning Hierarchical Models of Scenes, Objects, and Parts |
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
Hierarchical models have been extensively studied in various domains. However, existing models assume fixed model structures or incorporate structural uncertainty generatively. In...
ECCV
2004
Springer
15 years 11 months ago
2004
Springer
We present a probabilistic framework for recognizing objects in images of cluttered scenes. Hundreds of objects may be considered and searched in parallel. Each object is learned f...
PR
2007
14 years 9 months ago
2007
A reliable system for visual learning and recognition should enable a selective treatment of individual parts of input data and should successfully deal with noise and occlusions....
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CVPR
2012
IEEE
13 years 6 days ago
2012
IEEE
One challenge when tracking objects is to adapt the object representation depending on the scene context to account for changes in illumination, coloring, scaling, etc. Here, we p...
PERVASIVE
2006
Springer
14 years 9 months ago
2006
Springer
Abstract. Activity inference based on object use has received considerable recent attention. Such inference requires statistical models that map activities to the objects used in p...