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» Learning Generic Prior Models for Visual Computation
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ECCV
2010
Springer
15 years 1 months ago
Discriminative Tracking by Metric Learning
We present a discriminative model that casts appearance modeling and visual matching into a single objective for visual tracking. Most previous discriminative models for visual tra...
SIAMIS
2010
378views more  SIAMIS 2010»
14 years 4 months ago
Global Interactions in Random Field Models: A Potential Function Ensuring Connectedness
Markov random field (MRF) models, including conditional random field models, are popular in computer vision. However, in order to be computationally tractable, they are limited to ...
Sebastian Nowozin, Christoph H. Lampert
71
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ICASSP
2011
IEEE
14 years 1 months ago
Sparsity-based Sinogram Denoising for low-dose Computed Tomography
We propose a sinogram restoration method which consists of a patch-wise non-linear processing, based on a sparsity prior in terms of a learned dictionary. An off-line learning pro...
Joseph Shtok, Michael Elad, Michael Zibulevsky
IIE
2007
154views more  IIE 2007»
14 years 9 months ago
Computer Aided Modelling Exercises
This paper describes a didactical Computer Aided Software Engineering (CASE)-tool that was developed for use within the context of a course in object-oriented domain modelling. In...
Monique Snoeck, Raf Haesen, Herman Buelens, Manu D...
CCGRID
2006
IEEE
15 years 1 months ago
DIMVisual: Data Integration Model for Visualization of Parallel Programs Behavior
Abstract-- The development of high performance parallel applications for clusters is considered a complex task. This can happen because the influence of the execution environment a...
Lucas Mello Schnorr, Philippe Olivier Alexandre Na...