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Structural Similarity Index with Predictability of Image Blocks

International Conference on Mathematical Methods in Electromagnetic Theory, 2018
Structural similarity index (SSIM) is a widely used full-reference metric for assessment of visual quality of images and remote sensing data. It is calculated in a block-wise manner and is based on multiplication of three components: similarity of means ...
Mykola Ponomarenko   +3 more
semanticscholar   +1 more source

Diffusion on Self-Similar Structures

Fractals, 1997
Diffusion on self-similar structures is reviewed within a unified theoretical framework. Much attention is devoted to the asymptotic form of the probability density of random walks on fractals, for which analytical solutions are discussed. New predictions for the structure of percolation clusters at criticality are presented.
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Similarity Structure and Emergent Properties

Philosophy of Science, 2020
The concept of emergence is commonly invoked in modern physics but rarely defined. Building on recent influential work by Jeremy Butterfield, I provide precise definitions of emergence concepts as they pertain to properties represented in models, applying them to some basic examples from space-time and thermostatistical physics.
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STRUCTURE IN SIMILARITY MATRICES

Scandinavian Journal of Psychology, 1972
Waern, Y. Structure in similarity matrices. A graphic approach. Scand. J. Psychol., 1972, 13, 5–16.—The present paper proposes a simple method for representing the structure inherent in the similarity matrix, i.e. a graphic representation. The traditional multidimensional scaling methods are compared with each other and with the graphic representation ...
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Similarities in structured spaces of sets

2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2014
The objective of this paper is to present methodology for similarity evaluation of structured spaces of sets inspired by human cognitive processes. In contrast to classical similarity relations, which can operate only within the same space, our method can be applied to separate spaces.
Wladyslaw Homenda, Agnieszka Jastrzebska
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Measuring Structural Similarity in Music

IEEE Transactions on Audio, Speech, and Language Processing, 2011
This paper presents a novel method for measuring the structural similarity between music recordings. It uses recurrence plot analysis to characterize patterns of repetition in the feature sequence, and the normalized compression distance, a practical approximation of the joint Kolmogorov complexity, to measure the pairwise similarity between the plots.
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Do Structurally Similar Ligands Bind in a Similar Fashion?

Journal of Medicinal Chemistry, 2006
The scope of the current work is to investigate whether structurally similar ligands bind in a similar fashion by exhaustively analyzing experimental data from the protein database (PDB). The complete PDB was searched for pairs of structurally similar ligands binding to the same biological target.
Jonas, Boström   +2 more
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Sentence Similarity on Structural Representations

2016
Most previous approaches used various kinds of plain similarity features to represent the similarity of a sentence pair, and one of its limitations is its weak representation ability. This paper introduces the relational structures representation (shallow syntactic tree, dependency tree) to compute sentence similarity.
Meng Yang, Peifeng Li, Qiaoming Zhu
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Similarity ranking technique exploiting the structure of similarity relationships

Computing, 2020
This paper proposes a similarity ranking technique that exploits the entire network structure of similarity relationships for multimedia, particularly image, databases. The main problem in the similarity ranking on multimedia is the meaning gap between the characteristics automatically computed from the multimedia dataset and the interpretation by ...
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Similarity measures for structured representations

1994
A key concept in case-based reasoning is similarity. In this paper, we first propose a similarity measure for structured representations that is based on graph edit operations. Then we show how this similarity measure can be computed by means of state space search.
Horst Bunke, Bruno T. Messmer
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