227 search results - page 11 / 46 » Feature Learning for Recognition with Bayesian Networks |
ICANN
2005
Springer
14 years 1 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
2007
IEEE
14 years 9 months ago
2007
IEEE
We present an unsupervised method for learning a hierarchy of sparse feature detectors that are invariant to small shifts and distortions. The resulting feature extractor consists...
BVAI
2005
Springer
14 years 1 months ago
2005
Springer
A visual system not only needs to recognize a stimulus, it also needs to find the location of the stimulus. In this paper, we present a neural network model that is able to genera...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...
ICCV
2005
IEEE
14 years 1 months ago
2005
IEEE
We present an approach to detecting and recognizing spoken isolated phrases based solely on visual input. We adopt an architecture that first employs discriminative detection of ...