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» Scale-Time Kernels and Models
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IPPS
2008
IEEE
14 years 3 months ago
Programmability of the HPCS Languages: A case study with a quantum chemistry kernel
As high-end computer systems present users with rapidly increasing numbers of processors, possibly also incorporating attached co-processors, programmers are increasingly challeng...
Aniruddha G. Shet, Wael R. Elwasif, Robert J. Harr...
EJASP
2010
133views more  EJASP 2010»
13 years 3 months ago
Improving Density Estimation by Incorporating Spatial Information
Given discrete event data, we wish to produce a probability density that can model the relative probability of events occurring in a spatial region. Common methods of density esti...
Laura M. Smith, Matthew S. Keegan, Todd Wittman, G...
TIP
2010
121views more  TIP 2010»
13 years 3 months ago
Robust Processing of Optical Flow of Fluids
Abstract--This paper proposes a new approach, coupling physical models and image estimation techniques, for modelling the movement of fluids. The fluid flow is characterized by tur...
Ashish Doshi, Adrian G. Bors
ICCV
2011
IEEE
12 years 8 months ago
Handling Outliers in Non-Blind Image Deconvolution
Non-blind deconvolution is a key component in image deblurring systems. Previous deconvolution methods assume a linear blur model where the blurred image is generated by a linear ...
Sunghyun Cho, Jue Wang, Seungyong Lee
DAGM
2011
Springer
12 years 8 months ago
Using Landmarks as a Deformation Prior for Hybrid Image Registration
Hybrid registration schemes are a powerful alternative to fully automatic registration algorithms. Current methods for hybrid registration either include the landmark information a...
Marcel Lüthi, Christoph Jud, Thomas Vetter