177 search results - page 14 / 36 » Sparse Representation for Gaussian Process Models |
ICIP
2000
IEEE
13 years 12 months ago
2000
IEEE
Point Distribution Models are useful tools for modelling the variability of particular classes of shapes. A common approach is to apply a Principle Component Analysis to the data,...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
We describe an acoustic modeling approach in which all phonetic states share a common Gaussian Mixture Model structure, and the means and mixture weights vary in a subspace of the...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
In this paper, we propose a bilevel sparse coding model for coupled feature spaces, where we aim to learn dictionaries for sparse modeling in both spaces while enforcing some desi...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
This paper addresses the problem of Through-the-Wall Radar Imaging (TWRI) using the Multiple-Measurement Vector (MMV) compressive sensing model. TWR image formation is reformulate...
GI
2009
Springer
13 years 11 months ago
2009
Springer
: Large traffic network systems require handling huge amounts of data, often distributed over a large geographical region in space and time. Centralised processing is not then the ...