28 search results - page 1 / 6 » Adaptive Laplacian eigenfunctions as bases for regression an... |
ICPR
2008
IEEE
14 years 5 days ago
2008
IEEE
Regression or least squares fitting is an important problem in statistics, data mining and many other applications. In recent years, basis functions derived from the underlying g...
SMI
2006
IEEE
13 years 11 months ago
2006
IEEE
One of the challenges in geometry processing is to automatically reconstruct a higher-level representation from raw geometric data. For instance, computing a parameterization of a...
NIPS
2007
13 years 7 months ago
2007
Semi-supervised methods use unlabeled data in addition to labeled data to construct predictors. While existing semi-supervised methods have shown some promising empirical performa...
TIP
2008
13 years 5 months ago
2008
A distinction is usually made between wavelet bases and wavelet frames. The former are associated with a one-to-one representation of signals, which is somewhat constrained but mos...
MICCAI
2010
Springer
13 years 4 months ago
2010
Springer
The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...