372 search results - page 17 / 75 » Learning Location Invariance for Object Recognition and Loca... |
102
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CVPR
2008
IEEE
16 years 1 months ago
2008
IEEE
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
145
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WAPCV
2007
Springer
15 years 5 months ago
2007
Springer
The innovation of this work is the provision of a system that learns visual encodings of attention patterns and that enables sequential attention for object detection in real world...
110
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IROS
2006
IEEE
15 years 5 months ago
2006
IEEE
- Robot companions need to be able to constantly acquire knowledge about new objects for instance in order to detect them in the environment. This ability is necessary since it is ...
ACCV
2009
Springer
15 years 6 months ago
2009
Springer
The method based on local features has an advantage that the important local motion feature is represented as bag-of-features, but lacks the location information. Additionally, in ...
ECCV
2006
Springer
16 years 1 months ago
2006
Springer
This paper introduces the Located Hidden Random Field (LHRF), a conditional model for simultaneous part-based detection and segmentation of objects of a given class. Given a traini...