508 search results - page 31 / 102 » A Variational Approach to Learning Curves |
JMLR
2010
13 years 3 months ago
2010
Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...
TSP
2010
13 years 3 months ago
2010
An operational framework is developed for testing stationarity relatively to an observation scale, in both stochastic and deterministic contexts. The proposed method is based on a ...
EMNLP
2011
12 years 8 months ago
2011
We consider the problem of learning factored probabilistic CCG grammars for semantic parsing from data containing sentences paired with logical-form meaning representations. Tradi...
CVPR
2009
IEEE
15 years 3 months ago
2009
IEEE
The aim of this work is to learn a shape prior model
for an object class and to improve shape matching with the
learned shape prior. Given images of example instances,
we can le...
ICPR
2002
IEEE
14 years 9 months ago
2002
IEEE
A heretofore unsolved problem of great archaeological importance is the automatic assembly of pots made on a wheel from the hundreds (or thousands) of sherds found at an excavatio...