Results 241 to 250 of about 3,321,556 (293)
FEBS Open Bio, EarlyView.Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source
Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies
FEBS Open Bio, EarlyView.We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli +8 more
wiley +1 more source
FEBS Open Bio, EarlyView.This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source
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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.
Ranjith Unnikrishnan, Martial Hebert
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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.
Ranjith Unnikrishnan, Martial Hebert
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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 ...
Simone Santini, Ramesh C. 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 ...
Simone Santini, Ramesh C. Jain
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A statistical similarity measure
Proceedings of the 10th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '87, 1987Within the framework of the vector space models, a statistical similarity measure between document and query is proposed. In this approach the assumption that term (or atomic) vectors are pairwise orthogonal is not required. In addition, it provides a natural and consistent interpretation of term occurrence frequencies obtained from autoindexing.
S. K. Michael Wong, Yiyu Yao
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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
Measuring the Similarity of MDS Configurations [PDF]
Multivariate Behavioral Research, 1985 The similarity of multidimensional scaling configurations can be assessed by either correlating over corresponding point coordinates, after Procrustean similarity transformations, or by directly assessing the similarity of corresponding distances. The product-moment correlation is, however, an inadmissible measure in the latter case, and hence the ...
Borg, Ingwer, Leutner, Detlev
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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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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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