Results 211 to 220 of about 293,978 (266)
FEBS Open Bio, EarlyView.RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz +6 more
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2004
Molecular similarity is a pervasive concept in chemistry. It is essential to many aspects of chemical reasoning and analysis and is perhaps the fundamental assumption underlying medicinal chemistry. Dissimilarity, the complement of similarity, also plays a major role in a growing number of applications of molecular diversity in combinatorial chemistry,
Gerald M, Maggiora +1 more
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Molecular similarity is a pervasive concept in chemistry. It is essential to many aspects of chemical reasoning and analysis and is perhaps the fundamental assumption underlying medicinal chemistry. Dissimilarity, the complement of similarity, also plays a major role in a growing number of applications of molecular diversity in combinatorial chemistry,
Gerald M, Maggiora +1 more
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IEEE Transactions on Pattern Analysis and Machine Intelligence, 1999
With complex multimedia data, we see the emergence of database systems in which the fundamental operation is similarity assessment. Before database issues can be addressed, it is necessary to give a definition of similarity as an operation. We develop a similarity measure, based on fuzzy logic, that exhibits several features that match experimental ...
S. Santini, R. Jain
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With complex multimedia data, we see the emergence of database systems in which the fundamental operation is similarity assessment. Before database issues can be addressed, it is necessary to give a definition of similarity as an operation. We develop a similarity measure, based on fuzzy logic, that exhibits several features that match experimental ...
S. Santini, R. Jain
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Fuzzy similarity measures and measurement theory
2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2019We consider objects associated with a fuzzy set-based representation. By using a classic method of measurement introduced by Tversky, we establish necessary and sufficient conditions for the existence of a particular class of fuzzy similarity measures, agreeing with an ordering relation among pairs of objects which express the idea that two objects are
Coletti, Giulianella +1 more
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Neural Processing Letters, 1997
This paper concerns with the ART1 (Adaptive Resonance Theory 1) in Neural Network. Important features of ART1 are similarity measure (criterion), vigilance parameter (r), and their function to classify the input patterns. Experimental results show that the similarity measure as designed originally does not increase the number of categories with the ...
Ei Ei Khin +2 more
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This paper concerns with the ART1 (Adaptive Resonance Theory 1) in Neural Network. Important features of ART1 are similarity measure (criterion), vigilance parameter (r), and their function to classify the input patterns. Experimental results show that the similarity measure as designed originally does not increase the number of categories with the ...
Ei Ei Khin +2 more
openaire +1 more source
KWSim: Concepts Similarity Measure.
2008The comparison of manually annotated medical images can be done using the comparison of keywords in a lexical way or using the existing medical thesauri to calculate semantic similarity. In this paper, first we introduce the KWSim measure, a fully automated technique of measuring semantic similarity by mapping concepts(keywords) to different medical ...
Matar, Youssef +2 more
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Evaluating similarity measures
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining, 2005Online information services have grown too large for users to navigate without the help of automated tools such as collaborative filtering, which makes recommendations to users based on their collective past behavior. While many similarity measures have been proposed and individually evaluated, they have not been evaluated relative to each other in a ...
Ellen Spertus +2 more
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Asymmetric binary similarity measures
Oecologia, 1983Asymmetry in binary data arises when one of the two states (e.g. state "1") is interpreted as more informative than the other state. A common example in ecology occurs when one state represents presence of some unit and the other state represents absence. The problem of the classification of individuals based upon a set of such characters is related to
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2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1, 2005
Quantitative evaluation and comparison of image segmentation algorithms is now feasible owing to the recent availability of collections of hand-labeled images. However, little attention has been paid to the design of measures to compare one segmentation result to one or more manual segmentations of the same image.
Unnikrishnan, Ranjith, Hebert, Martial
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Quantitative evaluation and comparison of image segmentation algorithms is now feasible owing to the recent availability of collections of hand-labeled images. However, little attention has been paid to the design of measures to compare one segmentation result to one or more manual segmentations of the same image.
Unnikrishnan, Ranjith, Hebert, Martial
openaire +1 more source