16 search results - page 1 / 4 » Unsupervised Learning of Biologically Plausible Object Recog... |
BMCV
2000
Springer
13 years 9 months ago
2000
Springer
Recent psychological and neurological evidence suggests that biological object recognition is a process of matching sensed images to stored iconic memories. This paper presents a p...
PPSN
2004
Springer
13 years 10 months 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...
ICANN
2005
Springer
13 years 10 months ago
2005
Springer
Humans can recognize biological motion from strongly impoverished stimuli, like point-light displays. Although the neural mechanism underlying this robust perceptual process have n...
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
ICDAR
2003
IEEE
13 years 10 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 ...