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» Modeling Image Textures by Gibbs Random Fields
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96
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EMMCVPR
2005
Springer
15 years 6 months ago
Exploiting Inference for Approximate Parameter Learning in Discriminative Fields: An Empirical Study
Abstract. Estimation of parameters of random field models from labeled training data is crucial for their good performance in many image analysis applications. In this paper, we p...
Sanjiv Kumar, Jonas August, Martial Hebert
92
Voted
SIAMAM
2008
79views more  SIAMAM 2008»
15 years 16 days ago
Transport-Based Imaging in Random Media
This paper generalizes well-established derivations of the radiative transfer equation from first principles to model the energy density of time-dependent and monochromatic high f...
Guillaume Bal, Kui Ren
97
Voted
SSPR
2004
Springer
15 years 6 months ago
Adaptive Context for a Discrete Universal Denoiser
Abstract. Statistical analysis of spatially uniform signal contexts allows Discrete Universal Denoiser (DUDE) to effectively correct signal errors caused by a discrete symmetric me...
Georgy L. Gimel'farb
ICPR
2002
IEEE
16 years 1 months ago
A General Multichannel Image Restoration Method Using Compound Models
In this paper we present a multichannel image restoration method using Compound Gauss Markov Random Field (CGMRF) models. Information regarding the objects present in the scene is...
Rafael Molina, Javier Mateos, Aggelos K. Katsaggel...
194
Voted
GIS
2007
ACM
16 years 1 months ago
Recognizing cars in aerial imagery to improve orthophotos
The automatic creation of 3D models of urban spaces has become a very active field of research. This has been inspired by recent applications in the location-awareness on the Inte...
Franz Leberl, Horst Bischof, Helmut Grabner, Stefa...