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» Graph-Theoretical Methods in Computer Vision
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103
Voted
ECCV
2010
Springer
15 years 4 months ago
Learning a Fine Vocabulary
We present a novel similarity measure for bag-of-words type large scale image retrieval. The similarity function is learned in an unsupervised manner, requires no extra space over ...
ICPR
2010
IEEE
15 years 4 months ago
Gaussian Process Learning from Order Relationships Using Expectation Propagation
A method for Gaussian process learning of a scalar function from a set of pair-wise order relationships is presented. Expectation propagation is used to obtain an approximation to...
Ruixuan Wang, Stephen James Mckenna
98
Voted
SCALESPACE
1999
Springer
15 years 4 months ago
A Geometric Functional for Derivatives Approximation
We develop on estimation method, for the derivative field of an image based on Bayesian approach which is formulated in a geometric way. The Maximum probability configuration of ...
Nir A. Sochen, Robert M. Haralick, Yehoshua Y. Zee...
102
Voted
ECCV
2010
Springer
15 years 3 months ago
Face Image Relighting using Locally Constrained Global Optimization
A face image relighting method using locally constrained global optimization is presented in this paper. Based on the empirical fact that common radiance environments are locally h...
82
Voted
BMVC
2001
15 years 2 months ago
Recognition and retrieval via histogram trees
This paper explores a new method for analysing and comparing image histograms. The technique amounts to a novel way of backprojecting an image into one with fewer, statistically s...
Stuart Gibson, Richard Harvey