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» Markov Random Field Modeling in Computer Vision
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DAWAK
2010
Springer
13 years 8 months ago
Using Transitivity to Increase the Accuracy of Sample-Based Pearson Correlation Coefficients
Abstract. Pearson product-moment correlation coefficients are a wellpracticed quantification of linear dependence seen across many fields. When calculating a sample-based correlati...
Taylor Phillips, Chris GauthierDickey, Ramki Thuri...
CVPR
2004
IEEE
14 years 9 months ago
Bayesian Assembly of 3D Axially Symmetric Shapes from Fragments
We present a complete system for the purpose of automatically assembling 3D pots given 3D measurements of their fragments commonly called sherds. A Bayesian approach is formulated...
Andrew R. Willis, David B. Cooper
ETRA
2006
ACM
198views Biometrics» more  ETRA 2006»
14 years 1 months ago
Perceptual attention focus prediction for multiple viewers in case of multimedia perceptual compression with feedback delay
Human eyes have limited perception capabilities. Only 2 degrees of our 180 degree vision field provide the highest quality of perception. Due to this fact the idea of perceptual a...
Oleg Komogortsev, Javed I. Khan
CVPR
2006
IEEE
14 years 9 months ago
Control Theory and Fast Marching Techniques for Brain Connectivity Mapping
We propose a novel, fast and robust technique for the computation of anatomical connectivity in the brain. Our approach exploits the information provided by Diffusion Tensor Magne...
Emmanuel Prados, Stefano Soatto, Christophe Lengle...
CVPR
2005
IEEE
14 years 9 months ago
Bayesian Object Detection in Dynamic Scenes
Detecting moving objects using stationary cameras is an important precursor to many activity recognition, object recognition and tracking algorithms. In this paper, three innovati...
Yaser Sheikh, Mubarak Shah