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Matching Pixels Using Co-occurrence Statistics
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018We propose a new error measure for matching pixels that is based on co-occurrence statistics. The measure relies on a co-occurrence matrix that counts the number of times pairs of pixel values co-occur within a window.
R. Kat, R. Jevnisek, S. Avidan
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Statistics of color-matching experimental data
Applied Optics, 1999By assuming that color matches are normally distributed in XYZ space, we present a rigorous statistical technique to obtain regions of equally noticeable chromaticity differences. The probability density function of color matches in (x, y, Y) space is calculated according to standard techniques in probability theory.
F, Carre O, J M, Zoido
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Physical Review E, 2018
Reconstructing a three-dimensional (3D) structure from a single two-dimensional training image (TI) is a challenging issue. Multiple-point statistics (MPS) is an effective method to solve this problem. However, in the traditional MPS method, errors occur
Kaile Ding +4 more
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Reconstructing a three-dimensional (3D) structure from a single two-dimensional training image (TI) is a challenging issue. Multiple-point statistics (MPS) is an effective method to solve this problem. However, in the traditional MPS method, errors occur
Kaile Ding +4 more
semanticscholar +1 more source
Statistics & Probability Letters, 1984
A discrete time process on [0,1] considered in this paper is related to various problems involving two independent samples. In particular one may suggest a simple matching rule for the case of continuously generated samples and a goodness-of-fit test based on the number of unmatched elements. A recurrence formula for computing the exact distribution of
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A discrete time process on [0,1] considered in this paper is related to various problems involving two independent samples. In particular one may suggest a simple matching rule for the case of continuously generated samples and a goodness-of-fit test based on the number of unmatched elements. A recurrence formula for computing the exact distribution of
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2019
In this paper, we survey some recent developments on statistical properties of matchings of very large and infinite graphs. We discuss extremal graph theoretic results like Schrijver’s theorem on the number of perfect matchings of regular bipartite graphs and its variants from the point of view of graph limit theory.
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In this paper, we survey some recent developments on statistical properties of matchings of very large and infinite graphs. We discuss extremal graph theoretic results like Schrijver’s theorem on the number of perfect matchings of regular bipartite graphs and its variants from the point of view of graph limit theory.
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Uncertainty Analysis in Statistical Matching
2012Among the goals of statistical matching, a very important one is the estimation of the joint distribution of variables not jointly observed in a sample survey but separately available from independent sample surveys. The absence of joint information on the variables of interest leads to uncertainty about the data generating model.
CONTI, Pier Luigi +2 more
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Misalignment-eliminated warping image stitching method with grid-based motion statistics matching
Multimedia tools and applications, 2022Zaifeng Shi +4 more
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Ontology matching evaluation : A statistical perspective
2016Information and Communication ...
Mohammadi, Majid (author) +2 more
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An investigation of statistical matching
Journal of Applied Statistics, 1988This Paper examines the file-merging technique of statistical matching. Details are given of both its practical application and its numerical accuracy. In particular, it is shown that the ability of statistical matching to recreate correlations between variables existing only in different files is dependent on some respective assumptions which are ...
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Online LZ77 Parsing and Matching Statistics with RLBWTs
Annual Symposium on Combinatorial Pattern Matching, 2018H. Bannai, T. Gagie, I. Tomohiro
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