515 search results - page 69 / 103 » Feature Hierarchies for Object Classification |
IJCV
2000
14 years 9 months ago
2000
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...
ICRA
2010
IEEE
14 years 8 months ago
2010
IEEE
— There has been significant progress recently in object recognition research, but many of the current approaches still fail for object classes with few distinctive features, an...
ECCV
2000
Springer
15 years 11 months ago
2000
Springer
We present a method to learn object class models from unlabeled and unsegmented cluttered scenes for the purpose of visual object recognition. We focus on a particular type of mode...
ECCV
2008
Springer
15 years 11 months ago
2008
Springer
Abstract. We describe a new method for unsupervised structure learning of a hierarchical compositional model (HCM) for deformable objects. The learning is unsupervised in the sense...
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GECCO
2004
Springer
15 years 3 months ago
2004
Springer
The ability to predict the quality of a software object can be viewed as a classification problem, where software metrics are the features and expert quality rankings the class lab...