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This paper proposes an approach for visual attention based on biquaternion, and investigates its application for ship detection in multispectral imagery.
This paper proposes an approach for visual data mining on temporal data and applies it to a real medical problem, i.e. the management of hemodialysis.
The results suggest that fiber-optic based displays can be a complementary approach for visual stimulus presentation in the MRI scanner.
The solution presents a clear improvement on a tracking algorithm achieved by using a machine learning approach for visual object detection and recognition fordata association.
In summary, visual processing problems represent a challenging domain for planning techniques and our hierarchical POMDP-based approach for visual processing management opens up a promising new line of research.
To help experts investigate mind wanderings, we present a graph-based approach for visual analytics of eye-tracking data, which utilizes the graph representations to illustrate the reading patterns and further help experts detect and verify mind wanderings based on the graph structures and other graph attributes.
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Andrienko et al. [20] also illustrated the visual analytical approach for visualization of large amount of data.
To cater for the requirements of such system, a robust and fast terrain hazard matching approach designed for visual navigation is proposed in this paper.
We propose a top-down approach for solving visual interpretation tasks, which is based on symbolic pattern matching supported by well-founded ontologies.
In this study, a sensitive and rapid approach for the visual and point-of-use detection of Salmonella bacteria based on recombinase polymerase amplification (RPA) and a lateral-flow (LF) nucleic acid strip was established.
This study aims (1) to develop an automated and fast approach for detecting visual evoked potentials (VEPs) in single trials and (2) to apply the single-trial VEP detection approach in designing a real-time and high-performance brain computer interface (BCI) system.
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