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» A Convex Approach for Variational Super-Resolution
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TIP
2010
166views more  TIP 2010»
13 years 3 months ago
Restoration of Poissonian Images Using Alternating Direction Optimization
Much research has been devoted to the problem of restoring Poissonian images, namely for medical and astronomical applications. However, the restoration of these images using state...
Mário A. T. Figueiredo, José M. Biou...
VLSISP
2010
254views more  VLSISP 2010»
13 years 7 months ago
Manifold Based Local Classifiers: Linear and Nonlinear Approaches
Abstract In case of insufficient data samples in highdimensional classification problems, sparse scatters of samples tend to have many ‘holes’—regions that have few or no nea...
Hakan Cevikalp, Diane Larlus, Marian Neamtu, Bill ...
I3D
2010
ACM
14 years 6 months ago
Radiance Scaling for Versatile Surface Enhancement
1 We present a novel technique called Radiance Scaling for the depic-2 tion of surface shape through shading. It adjusts reflected light in-3 tensities in a way dependent on both s...
Romain Vergne, Romain Pacanowski, Pascal Barla, Xa...
TCAD
2008
136views more  TCAD 2008»
13 years 8 months ago
A Geometric Programming-Based Worst Case Gate Sizing Method Incorporating Spatial Correlation
We present an efficient optimization scheme for gate sizing in the presence of process variations. Our method is a worst-case design scheme, but it reduces the pessimism involved i...
Jaskirat Singh, Zhi-Quan Luo, Sachin S. Sapatnekar
ICCV
2007
IEEE
14 years 10 months ago
An Invariant Large Margin Nearest Neighbour Classifier
The k-nearest neighbour (kNN) rule is a simple and effective method for multi-way classification that is much used in Computer Vision. However, its performance depends heavily on ...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...