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Using an SQL database commoncheminformatics tasks such as analysis and filtering can be performedinteractively with various methods for visual support.
Comparisons with classical methods for visual attention show that the proposed algorithm is well adapted to anisotropic filtering purposes.
The paper studied the feature-based image comparison methods for Visual Sensor Networks where the resources are stringent.
Developing efficient methods for visual detection of cancer cells has the potential to contribute greatly to basic biological research and early diagnosis of cancer.
For this reason, we implemented three methods for visual analysis of large numbers of correlations: one is to filter correlations based on correlation strength, the second is to create a larger image using zooming functions, the third enables the user to move a molecule (node) or an experiment category (circle) around to facilitate visualization.
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We use two methods for visual-tracking, one based on optical flow and one based on color information.
After studying different cataloguing methods in various libraries, Carvalho and Bernau decided that the best method for visual categorization needed to be based on "an associative matrix of systematically arbitrary connections".
A method for visual quality distortion due to arbitrary frame freeze is discussed in[76].
For reasons of quantification, we introduced an ameliorated method for visual inspection of the multifractal properties.
We present an efficient method for visual simulations of shock phenomena in compressible, inviscid fluids.
An improved method for visual gamma correction is developed for LCD displays to increase the accuracy of digital colour reproduction.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com