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» Super-Resolution with Adaptive Regularization
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ICIP
2009
IEEE
13 years 3 months ago
Directionally adaptive super-resolution
In this paper a novel direction adaptive super-resolution (SR) image reconstruction method is proposed. The proposed maximum a-posteriori (MAP) based estimator uses gradient direc...
Emre Turgay, Gozde Bozdagi Akar
ICIP
2005
IEEE
14 years 7 months ago
Learning-based super-resolution of 3D face model
Super resolution technique could produce a higher resolution image than the originally captured one. However, nearly all super-resolution algorithms aim at 2D images. In this pape...
Shiqi Peng, Gang Pan, Zhaohui Wu
CVPR
2004
IEEE
14 years 8 months ago
High-Zoom Video Hallucination by Exploiting Spatio-Temporal Regularities
In this paper, we consider the problem of super-resolving a human face video by a very high (?16) zoom factor. Inspired by recent literature on hallucination and examplebased lear...
Göksel Dedeoglu, Jonas August, Takeo Kanade
WSDM
2012
ACM
259views Data Mining» more  WSDM 2012»
12 years 1 months ago
Learning recommender systems with adaptive regularization
Many factorization models like matrix or tensor factorization have been proposed for the important application of recommender systems. The success of such factorization models dep...
Steffen Rendle
ICIP
2008
IEEE
14 years 7 months ago
Multiresolutional regularization of local linear regression over adaptive neighborhoods for color management
A multiresolutional regularization method is proposed for local linear regression that regularizes local mean squared-error by the mean squared-error of a larger neighborhood. The...
Nasiha Hrustemovic, Maya R. Gupta