409 search results - page 9 / 82 » Super-Resolution with Adaptive Regularization |
COLT
2006
Springer
14 years 1 months ago
2006
Springer
Abstract. The regularization functional induced by the graph Laplacian of a random neighborhood graph based on the data is adaptive in two ways. First it adapts to an underlying ma...
PCM
2010
Springer
13 years 7 months ago
2010
Springer
Ringing and noise amplification are the most dominant artifacts in image deconvolution. These artifacts can be reduced by introducing image prior into the deconvolution process. A ...
ML
2002
ACM
13 years 9 months ago
2002
ACM
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
ICASSP
2010
IEEE
13 years 9 months ago
2010
IEEE
Image registration is a crucial task in many applications and applied in a variety of different areas. In addition to the primary task of image alignment, the deformation field i...
ECCV
2010
Springer
14 years 3 months ago
2010
Springer
Abstract. Image segmentation techniques typically require proper weighting of competing data fidelity and regularization terms. Conventionally, the associated parameters are set t...