2865 search results - page 2 / 573 » Learning Models for Object Recognition |
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
We present a hierarchical generative model for object recognition that is constructed by weakly-supervised learning. A key component is a novel, adaptive patch feature whose width...
CVPR
2003
IEEE
14 years 7 months ago
2003
IEEE
We present a method to learn and recognize object class models from unlabeled and unsegmented cluttered scenes in a scale invariant manner. Objects are modeled as flexible constel...
ICANN
2005
Springer
13 years 11 months ago
2005
Springer
We present an architecture for the online learning of object representations based on a visual cortex hierarchy developed earlier. We use the output of a topographical feature hier...
CLOR
2006
13 years 9 months ago
2006
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a weakly-supervised manner: the model is learnt from examp...
ICRA
2006
IEEE
13 years 11 months ago
2006
IEEE
— Mobile robots do not adequately represent the objects in their environment; this weakness hinders a robot’s ability to utilize past experience. In this paper, we describe a s...