1301 search results - page 30 / 261 » Default Clustering from Sparse Data Sets |
ISBI
2009
IEEE
14 years 3 months ago
2009
IEEE
Compressive sensing is the reconstruction of sparse images or signals from very few samples, by means of solving a tractable optimization problem. In the context of MRI, this can ...
ICASSP
2010
IEEE
13 years 8 months ago
2010
IEEE
This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict th...
IPSN
2007
Springer
14 years 2 months ago
2007
Springer
We study the problem of aggregating data from a sparse set of nodes in a wireless sensor network. This is a common situation when a sensor network is deployed to detect relatively...
PKDD
2009
Springer
14 years 3 months ago
2009
Springer
We explore an algorithm for training SVMs with Kernels that can represent the learned rule using arbitrary basis vectors, not just the support vectors (SVs) from the training set. ...
LCPC
1998
Springer
14 years 27 days ago
1998
Springer
There is a class of sparse matrix computations, such as direct solvers of systems of linear equations, that change the fill-in (nonzero entries) of the coefficient matrix, and invo...