20 search results - page 2 / 4 » A Machine Learning Framework for Adaptive Combination of Sig... |
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
This paper presents a novel spatio-temporal Markov random field (MRF) for video denoising. Two main issues are addressed in this paper, namely, the estimation of noise model and t...
CCIW
2011
Springer
12 years 9 months ago
2011
Springer
The representation model that considers an image as a sparse linear combination of few atoms of a predefined or learned dictionary has received considerable attention in recent ye...
ICML
2007
IEEE
14 years 6 months ago
2007
IEEE
The k-Nearest Neighbors algorithm can be easily adapted to classify complex objects (e.g. sets, graphs) as long as a proper dissimilarity function is given over an input space. Bo...
ECCV
2010
Springer
13 years 7 months ago
2010
Springer
Partial differential equations (PDEs) have been successfully applied to many computer vision and image processing problems. However, designing PDEs requires high mathematical skill...
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
We propose to combine two approaches for modeling data admitting sparse representations: on the one hand, dictionary learning has proven effective for various signal processing ta...