187 search results - page 3 / 38 » On sparse estimation for semiparametric linear transformatio... |
100
Voted
ICIP
2008
IEEE
15 years 12 months ago
2008
IEEE
We consider the problem of reconstructing time sequences of spatially sparse signals (with unknown and time-varying sparsity patterns) from a limited number of linear "incohe...
74
Voted
ICIP
2004
IEEE
15 years 11 months ago
2004
IEEE
We propose a mixture of multiple linear models, also known as hybrid linear model, for a sparse representation of an image. This is a generalization of the conventional KarhunenLo...
84
Voted
CVPR
2010
IEEE
15 years 6 months ago
2010
IEEE
Pictorial structure (PS) models are extensively used for part-based recognition of scenes, people, animals and multi-part objects. To achieve tractability, the structure and param...
117
Voted
CVPR
2010
IEEE
14 years 8 months ago
2010
IEEE
Pictorial structure (PS) models are extensively used for part-based recognition of scenes, people, animals and multi-part objects. To achieve tractability, the structure and param...
91
Voted
ICIP
2009
IEEE
15 years 11 months ago
2009
IEEE
Sparse Orthonormal Transforms (SOT) has recently been proposed as a data compression method that can achieve sparser representations in transform domain. Given initial conditions,...