1214 search results - page 173 / 243 » Labeling Points with Weights |
NAACL
2010
13 years 7 months ago
2010
We show that the automatically induced latent variable grammars of Petrov et al. (2006) vary widely in their underlying representations, depending on their EM initialization point...
JMLR
2010
13 years 4 months ago
2010
The problem of automatic feature selection/weighting in kernel methods is examined. We work on a formulation that optimizes both the weights of features and the parameters of the ...
ICASSP
2011
IEEE
13 years 1 months ago
2011
IEEE
Super-resolution is the task of creating an high resolution image from a low resolution input sequence. To overcome the difficulties of fine image registration, several methods ...
JMLR
2008
13 years 10 months ago
2008
In supervised learning, a training set consisting of labeled instances is used by a learning algorithm for generating a model (classifier) that is subsequently employed for decidi...
ICPR
2000
IEEE
14 years 11 months ago
2000
IEEE
We consider di usion processes on a class of R trees. The processes are de ned in a manner similar to that of Le Gall's Brownian snake. Each point in the tree has a real value...