495 search results - page 33 / 99 » Sparse representation algorithms based on mean-field approxi... |
FUZZIEEE
2007
IEEE
15 years 4 months ago
2007
IEEE
— Reinforcement learning (RL) is a learning control paradigm that provides well-understood algorithms with good convergence and consistency properties. Unfortunately, these algor...
ICPR
2008
IEEE
15 years 4 months ago
2008
IEEE
Graphs are powerful data structures that have many attractive properties for object representation. However, some basic operations are difficult to define and implement, for ins...
ICML
2010
IEEE
14 years 11 months ago
2010
IEEE
We present a new algorithm for minimizing a convex loss-function subject to regularization. Our framework applies to numerous problems in machine learning and statistics; notably,...
CORR
2010
Springer
14 years 10 months ago
2010
Springer
In this paper we revisit the sparse multiple measurement vector (MMV) problem, where the aim is to recover a set of jointly sparse multichannel vectors from incomplete measurement...
DCC
2002
IEEE
15 years 9 months ago
2002
IEEE
In this paper we propose an algorithm for image recovery where completely lost blocks in an image/video-frame are recovered using spatial information surrounding these blocks. Our...