706 search results - page 107 / 142 » New Adaptive Iterative Image Restoration Algorithm |
TCSV
2008
13 years 8 months ago
2008
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
ICASSP
2011
IEEE
13 years 6 days ago
2011
IEEE
We have studied two efficient sampling methods, Langevin and Hessian adapted Metropolis Hastings (MH), applied to a parameter estimation problem of the mathematical model (Lorent...
ICML
2009
IEEE
14 years 9 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
DCC
2000
IEEE
14 years 27 days ago
2000
IEEE
This paper contains two contributions to very-low-bitrate video coding. First, we show that in contrast to common practice incremental techniques for rate-distortion optimization ...
BMVC
2010
13 years 6 months ago
2010
Man-made environments are abundant with planar surfaces which have attractive properties and are a prerequisite for a variety of vision tasks. This paper presents an incremental m...