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» Feature versus model based noise robustness
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TMI
2010
112views more  TMI 2010»
13 years 6 months ago
Regularized Interpolation for Noisy Images
Abstract—Interpolation is the means by which a continuouslydefined model is fit to discrete data samples. When the data samples are exempt of noise, it seems desirable to build...
Sathish Ramani, Philippe Thévenaz, Michael ...
ICCV
2007
IEEE
14 years 2 months ago
A Multi-Image Restoration Method for Image Reconstruction from Projections
in Proc. IEEE Int’l Conf. on Computer Vision (ICCV), October, 2007 Traditional Bayesian restoration methods depend heavily on the accuracy of underlying generative models. For t...
Yunqiang Chen, Lin Cheng, Tong Fang, Rainer Raupac...
CMOT
2002
112views more  CMOT 2002»
13 years 7 months ago
Finding Optimal Targets for Change Agents: A Computer Simulation of Innovation Diffusion
We introduce a diffusion of innovation model based on a network threshold approach. Realistic network and threshold data were gathered regarding the diffusion of new software tool...
Dirk Maienhofer, Thomas A. Finholt
ICMCS
2008
IEEE
181views Multimedia» more  ICMCS 2008»
14 years 2 months ago
Coarse-to-fine video text detection
In this paper, we propose an effective coarse-to-fine algorithm to detect text in video. Firstly, in coarse-detection section, stroke filter is employed to detect all candidate st...
Guangyi Miao, Qingming Huang, Shuqiang Jiang, Wen ...
WACV
2008
IEEE
14 years 2 months ago
Segmentation of Salient Regions in Outdoor Scenes Using Imagery and 3-D Data
This paper describes a segmentation method for extracting salient regions in outdoor scenes using both 3-D laser scans and imagery information. Our approach is a bottomup attentiv...
Gunhee Kim, Daniel F. Huber, Martial Hebert