180 search results - page 16 / 36 » Learning to Recognize Three-Dimensional Objects |
94
Voted
EMMCVPR
2005
Springer
15 years 3 months ago
2005
Springer
This contribution proposes a compositionality architecture for visual object categorization, i.e., learning and recognizing multiple visual object classes in unsegmented, cluttered...
IJCV
2008
14 years 10 months ago
2008
We develop hierarchical, probabilistic models for objects, the parts composing them, and the visual scenes surrounding them. Our approach couples topic models originally developed...
100
Voted
IJCV
2000
14 years 10 months ago
2000
We describe how to model the appearance of a 3-D object using multiple views, learn such a model from training images, and use the model for object recognition. The model uses pro...
ECCV
2008
Springer
16 years 2 days ago
2008
Springer
Multiple Instance Learning (MIL) provides a framework for training a discriminative classifier from data with ambiguous labels. This framework is well suited for the task of learni...
CVPR
2010
IEEE
15 years 6 months ago
2010
IEEE
Learning object categories from small samples is a challenging problem, where machine learning tools can in general provide very few guarantees. Exploiting prior knowledge may be ...