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» Efficient Learning of Relational Object Class Models
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CVPR
2005
IEEE
16 years 2 months ago
Identifying Semantically Equivalent Object Fragments
We describe a novel technique for identifying semantically equivalent parts in images belonging to the same object class, (e.g. eyes, license plates, aircraft wings etc.). The vis...
Boris Epshtein, Shimon Ullman
102
Voted
DC
2006
15 years 18 days ago
On the inherent weakness of conditional primitives
Some well-known primitive operations, such as compare-and-swap, can be used, together with read and write, to implement any object in a wait-free manner. However, this paper shows ...
Faith Ellen Fich, Danny Hendler, Nir Shavit
78
Voted
JACIII
2006
114views more  JACIII 2006»
15 years 17 days ago
A Theoretical Formulation of Object-Oriented Rough Set Models
ata forms, and abstract structural hierarchy based on is-a relationship and has-a relationship. Object structures illustrate many kinds of objects and actual dependence among objec...
Yasuo Kudo, Tetsuya Murai
109
Voted
ICCV
2007
IEEE
16 years 2 months ago
Active Learning with Gaussian Processes for Object Categorization
Discriminative methods for visual object category recognition are typically non-probabilistic, predicting class labels but not directly providing an estimate of uncertainty. Gauss...
Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Tr...
107
Voted
ECCV
2006
Springer
16 years 2 months ago
Located Hidden Random Fields: Learning Discriminative Parts for Object Detection
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...
Ashish Kapoor, John M. Winn