189 search results - page 5 / 38 » Unsupervised Selective Transfer Learning for Object Recognit... |
PPSN
2004
Springer
14 years 12 days ago
2004
Springer
Abstract. A key problem in designing artificial neural networks for visual object recognition tasks is the proper choice of the network architecture. Evolutionary optimization met...
GBRPR
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. In this paper, we propose a novel method for the unsupervised clustering of graphs in the context of the constellation approach to object recognition. Such method is an E...
IDA
2002
Springer
13 years 6 months ago
2002
Springer
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
PAMI
2012
11 years 9 months ago
2012
Which one comes first: segmentation or recognition? We propose a unified framework for carrying out the two simultaneously and without supervision. The framework combines a fle...
ALT
2006
Springer
14 years 4 months ago
2006
Springer
Abstract. We propose a method of unsupervised learning from stationary, vector-valued processes. A low-dimensional subspace is selected on the basis of a criterion which rewards da...