1956 search results - page 93 / 392 » Learning the Relative Importance of Features in Image Data |
ICANN
2005
Springer
14 years 2 months ago
2005
Springer
Spike synchronisation and de-synchronisation are important for feature binding and separation at various levels in the visual system. We present a model of complex valued neuron ac...
ECCV
2010
Springer
13 years 9 months ago
2010
Springer
Abstract. Domain adaptation is an important emerging topic in computer vision. In this paper, we present one of the first studies of domain shift in the context of object recogniti...
ECCV
2002
Springer
14 years 10 months ago
2002
Springer
We present a novel method for inferring three-dimensional shape from a collection of defocused images. It is based on the observation that defocused images are the null-space of ce...
ICIP
2010
IEEE
13 years 6 months ago
2010
IEEE
Representation and measurement are two important issues for saliency models. Different with previous works that learnt sparse features from large scale natural statistics, we prop...
JMLR
2010
13 years 3 months ago
2010
As the size and dimensionality of data sets increase, the task of feature selection has become increasingly important. In this paper we demonstrate how association rules can be us...