189 search results - page 1 / 38 » Unsupervised Selective Transfer Learning for Object Recognit... |
ACCV
2010
Springer
12 years 11 months ago
2010
Springer
Abstract. We propose a novel unsupervised transfer learning framework that utilises unlabelled auxiliary data to quantify and select the most relevant transferrable knowledge for r...
ICDAR
2003
IEEE
13 years 9 months ago
2003
IEEE
In this paper a methodology for feature selection in unsupervised learning is proposed. It makes use of a multiobjective genetic algorithm where the minimization of the number of ...
CVPR
2003
IEEE
14 years 6 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...
ECCV
2000
Springer
14 years 6 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...
EPIA
2009
Springer
13 years 8 months ago
2009
Springer
Abstract. Robots need to ground their external vocabulary and internal symbols in observations of the world. In recent works, this problem has been approached through combinations ...