534 search results - page 54 / 107 » Data Separation by Sparse Representations |
MICCAI
2000
Springer
14 years 1 months ago
2000
Springer
New medical imaging modalities offering multi-valued data, such as phase contrast MRA and diffusion tensor MRI, require general representations for the development of automatized a...
MICCAI
2007
Springer
14 years 4 months ago
2007
Springer
In this paper we propose a weakly supervised learning algorithm for appearance models based on the minimum description length (MDL) principle. From a set of training images or volu...
FOCS
1992
IEEE
14 years 1 months ago
1992
IEEE
We consider a variant of the traditional task of explicitly reconstructing algebraic functions from black box representations. In the traditional setting for such problems, one is ...
NIPS
2000
13 years 11 months ago
2000
A new incremental learning algorithm is described which approximates the maximal margin hyperplane w.r.t. norm p 2 for a set of linearly separable data. Our algorithm, called alm...
PSIVT
2009
Springer
14 years 4 months ago
2009
Springer
PCA-SIFT is an extension to SIFT which aims to reduce SIFT’s high dimensionality (128 dimensions) by applying PCA to the gradient image patches. However PCA is not a discriminati...