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» Bayesian spatial modeling and interpolation using copulas
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IGIS
1994
118views GIS» more  IGIS 1994»
13 years 11 months ago
Surface Modelling with Guaranteed Consistency - An Object-Based Approach
There have been many interpolation methods developed over the years, each with their own problems. One of the biggest limitations in many applications is the non-correspondence of...
Christopher M. Gold, Thomas Roos
DAGM
2009
Springer
14 years 2 months ago
Pedestrian Detection by Probabilistic Component Assembly
We present a novel pedestrian detection system based on probabilistic component assembly. A part-based model is proposed which uses three parts consisting of head-shoulder, torso a...
Martin Rapus, Stefan Munder, Gregory Baratoff, Joa...
ICCV
2001
IEEE
14 years 9 months ago
Learning Image Statistics for Bayesian Tracking
This paper describes a framework for learning probabilistic models of objects and scenes and for exploiting these models for tracking complex, deformable, or articulated objects i...
Hedvig Sidenbladh, Michael J. Black
CVPR
2008
IEEE
13 years 9 months ago
Demosaicking recognition with applications in digital photo authentication based on a quadratic pixel correlation model
Most digital still color cameras use a single electronic sensor (CCD or CMOS) overlaid with a color filter array. At each pixel location only one color sample is taken, and the ot...
Yizhen Huang, Yangjing Long
CVPR
2011
IEEE
13 years 2 months ago
Blind Deconvolution Using A Normalized Sparsity Measure
Blind image deconvolution is an ill-posed problem that requires regularization to solve. However, many common forms of image prior used in this setting have a major drawback in th...
Dilip Krishnan, Rob Fergus