454 search results - page 7 / 91 » On the approximation error in high dimensional model represe... |
GRAPP
2007
13 years 8 months ago
2007
We consider the problem of approximating the 3D scan of a real object through an affine combination of examples. Common approaches depend either on the explicit estimation of poi...
SPEECH
1998
13 years 7 months ago
1998
We consider the problem of obtaining a reduced dimension representation of electropalatographic (EPG) data. An unsupervised learning approach based on latent variable modelling is...
JMLR
2010
13 years 2 months ago
2010
Some online algorithms for linear classification model the uncertainty in their weights over the course of learning. Modeling the full covariance structure of the weights can prov...
PCM
2001
Springer
13 years 11 months ago
2001
Springer
A practical method for creating a high dimensional index structure that adapts to the data distribution and scales well with the database size, is presented. Typical media descrip...
CORR
2011
Springer
13 years 2 months ago
2011
Springer
—This paper studies the problem of high-dimensional multiple testing and sparse recovery from the perspective of sequential analysis. In this setting, the probability of error is...