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» Performance study of mapping irregular computations on GPUs
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ICCV
2011
IEEE
13 years 9 months ago
From Learning Models of Natural Image Patches to Whole Image Restoration
Learning good image priors is of utmost importance for the study of vision, computer vision and image processing applications. Learning priors and optimizing over whole images can...
Daniel Zoran, Yair Weiss
AMC
2007
134views more  AMC 2007»
14 years 9 months ago
An image fragile watermark scheme based on chaotic image pattern and pixel-pairs
Fragile watermarking techniques for digital content have been studied in the past few years. Fragile watermarks are used to determine if a piece of watermarked digital content has...
Shaohui Liu, Hongxun Yao, Wen Gao, Yongliang Liu
ASE
1998
81views more  ASE 1998»
14 years 9 months ago
Program Understanding as Constraint Satisfaction: Representation and Reasoning Techniques
The process of understanding a source code in a high-level programming language involves complex computation. Given a piece of legacy code and a library of program plan templates, ...
Steven G. Woods, Qiang Yang
ECCV
2010
Springer
15 years 2 months ago
Efficient Highly Over-Complete Sparse Coding using a Mixture Model
Sparse coding of sensory data has recently attracted notable attention in research of learning useful features from the unlabeled data. Empirical studies show that mapping the data...
CVPR
2008
IEEE
15 years 11 months ago
Boosted deformable model for human body alignment
This paper studies image alignment, the problem of learning a shape and appearance model from labeled data and efficiently fitting the model to a non-rigid object with large varia...
Xiaoming Liu 0002, Ting Yu, Thomas Sebastian, Pete...