52 search results - page 6 / 11 » Euclidean Embedding of Co-Occurrence Data |
CORR
2011
Springer
12 years 11 months ago
2011
Springer
We introduce an algorithm that, given n objects, learns a similarity matrix over all n2 pairs, from crowdsourced data alone. The algorithm samples responses to adaptively chosen t...
ICIP
2008
IEEE
14 years 2 months ago
2008
IEEE
—Beyond conventional linear and kernel-based feature extraction, we present a more generalized formulation for feature extraction in this paper. Two representative algorithms usi...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
Images and other high-dimensional data can frequently be characterized by a low dimensional manifold (e.g. one that corresponds to the degrees of freedom of the camera). Recently,...
ICIP
2005
IEEE
14 years 1 months ago
2005
IEEE
Averaging, filtering and interpolation of 3-D object orientation data is important in both computer vision and computer graphics, for instance to smooth estimates of object orien...
ESANN
2003
13 years 9 months ago
2003
In this paper a special higher order neuron, the hypersphere neuron, is introduced. By embedding Euclidean space in a conformal space, hyperspheres can be expressed as vectors. The...