226 search results - page 12 / 46 » How to learn a graph from smooth signals |
ECCV
1998
Springer
15 years 11 months ago
1998
Springer
Abstract. A simplified color image formation model is used to construct an algorithm for image reconstruction from CCD sensors samples. The proposed method involves two successive ...
ECCV
2008
Springer
15 years 11 months ago
2008
Springer
Assumptions of brightness constancy and spatial smoothness underlie most optical flow estimation methods. In contrast to standard heuristic formulations, we learn a statistical mod...
KDD
2009
ACM
15 years 4 months ago
2009
ACM
There is a growing wealth of data describing networks of various types, including social networks, physical networks such as transportation or communication networks, and biologic...
PAMI
2007
14 years 9 months ago
2007
We describe a semi-supervised regression algorithm that learns to transform one time series into another time series given examples of the transformation. This algorithm is applie...
ALT
2001
Springer
15 years 6 months ago
2001
Springer
Abstract. Learning of recursive functions refutably means that for every recursive function, the learning machine has either to learn this function or to refute it, i.e., to signal...