Results 221 to 230 of about 293,978 (266)
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Theoria, 2020
AbstractThis article analyses the relationship between the concept of single aspect similarity and proposed measures of similarity. More precisely, it compares eleven measures of similarity in terms of how well they satisfy a list of desiderata, chosen to capture common intuitions concerning the properties of similarity and the relations between ...
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AbstractThis article analyses the relationship between the concept of single aspect similarity and proposed measures of similarity. More precisely, it compares eleven measures of similarity in terms of how well they satisfy a list of desiderata, chosen to capture common intuitions concerning the properties of similarity and the relations between ...
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Trajectory similarity measures
SIGSPATIAL Special, 2015Storing, querying, and analyzing trajectories is becoming increasingly important, as the availability and volumes of trajectory data increases. One important class of trajectory analysis is computing trajectory similarity. This paper introduces and compares four of the most common measures of trajectory similarity: longest common subsequence (LCSS ...
Kevin Toohey, Matt Duckham
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Possibilistic Similarity Measures
2010This paper investigates the problem of measuring the similarity degree between two normalized possibility distributions encoding preferences or uncertain knowledge. In a first part, basic natural properties of such similarity measures are proposed. Then a survey of the existing possibilistic similarity indexes is presented and in particular, we analyze
Jenhani, Ilyes +2 more
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SIMILARITY MEASURE OF SOFT SETS
New Mathematics and Natural Computation, 2008Soft set, as a parametrized family of subsets of a crisp universal set, has more ability to handle uncertain information. In this paper, we propose two types of similarity measure between soft sets and made a comparative study of these two techniques. Also we have shown an application of this similarity measure of soft sets.
PINAKI MAJUMDAR, S. K. SAMANTA
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Possibilistic Similarity Measures
2019The concept of similarity plays an essential role in a wide range of application fields like pattern recognition, reasoning, data, and knowledge mining. Nevertheless, the formulation of a valid and general-purpose definition of the similarity concept cannot be easily and simply expressed by a formula and remains a challenging issue.
Basel Solaiman, Éloi Bossé
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2010
The subject of this chapter is image similarity measures. These measure provide a quantitative measure of the degree of match between two images, or image patches, A and B. Image similarity measures play an important role in many image fusion algorithms and applications including retrieval, classification, change detection, quality evaluation and ...
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The subject of this chapter is image similarity measures. These measure provide a quantitative measure of the degree of match between two images, or image patches, A and B. Image similarity measures play an important role in many image fusion algorithms and applications including retrieval, classification, change detection, quality evaluation and ...
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2013
The goal of ontology matching is to find relations between entities expressed in different ontologies. Very often, these relations are equivalence relations that are discovered through the measure of similarity between these entities. However, more elaborate methods may directly find more precise relations.
Jérôme Euzenat, Pavel Shvaiko
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The goal of ontology matching is to find relations between entities expressed in different ontologies. Very often, these relations are equivalence relations that are discovered through the measure of similarity between these entities. However, more elaborate methods may directly find more precise relations.
Jérôme Euzenat, Pavel Shvaiko
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2003
The purpose of an image retrieval system is to organize and index images so that if we have a large number of images in the database, given a query image, the relevant images can be retrieved efficiently upon request. Relevant images is a list of images from the database which are most “similar”in some aspects to the query image.
Maytham H. Safar, Cyrus Shahabi
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The purpose of an image retrieval system is to organize and index images so that if we have a large number of images in the database, given a query image, the relevant images can be retrieved efficiently upon request. Relevant images is a list of images from the database which are most “similar”in some aspects to the query image.
Maytham H. Safar, Cyrus Shahabi
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American Cancer Society's report on the status of cancer disparities in the United States, 2021
Ca-A Cancer Journal for Clinicians, 2022Farhad Islami +2 more
exaly
Antibiotic resistance in the patient with cancer: Escalating challenges and paths forward
Ca-A Cancer Journal for Clinicians, 2021Amila K Nanayakkara +2 more
exaly