187 search results - page 5 / 38 » On sparse estimation for semiparametric linear transformatio... |
ICASSP
2007
IEEE
14 years 1 months ago
2007
IEEE
Overcomplete representations are attracting interest in image processing theory, particularly due to their potential to generate sparse representations of data based on their morp...
ICANN
2010
Springer
13 years 8 months ago
2010
Springer
In this work, a novel probability distribution is proposed to model sparse directional data. The Directional Laplacian Distribution (DLD) is a hybrid between the linear Laplacian d...
CORR
2011
Springer
13 years 2 months ago
2011
Springer
The estimation of a sparse vector in the linear model is a fundamental problem in signal processing, statistics, and compressive sensing. This paper establishes a lower bound on t...
TSP
2010
13 years 2 months ago
2010
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
ICIP
2004
IEEE
14 years 9 months ago
2004
IEEE
We present an approach to estimate the poses of human heads in natural scenes. The essential features for estimating the head pose are the positions of the prominent facial featur...