2865 search results - page 2 / 573 » Learning Models for Object Recognition |
CVPR
2007
IEEE
14 years 9 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 9 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
14 years 1 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 11 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
14 years 1 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...