41 search results - page 1 / 9 » Hierarchical Statistical Learning of Generic Parts of Object... |
CVPR
2006
IEEE
14 years 6 months ago
2006
IEEE
With the growing interest in object categorization various methods have emerged that perform well in this challenging task, yet are inherently limited to only a moderate number of...
CVPR
2007
IEEE
14 years 6 months ago
2007
IEEE
This paper proposes a novel approach to constructing a hierarchical representation of visual input that aims to enable recognition and detection of a large number of object catego...
ICCV
2005
IEEE
13 years 10 months ago
2005
IEEE
We describe a hierarchical probabilistic model for the detection and recognition of objects in cluttered, natural scenes. The model is based on a set of parts which describe the e...
CVPR
2005
IEEE
14 years 6 months ago
2005
IEEE
We present a class of statistical models for part-based object recognition that are explicitly parameterized according to the degree of spatial structure they can represent. These...
CVIU
2008
13 years 4 months ago
2008
We propose a novel scheme for using supervised learning for function-based classification of objects in 3D images. During the learning process, a generic multi-level hierarchical ...