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In this paper, we proposed a hybrid neural network based classifier, which utilize the visual information extracted from the red blood cell images to determine whether a red cell is normal or abnormal.
Most existing methods only utilize the visual sensors for ground-based cloud classification, which neglects other important characteristics of cloud.
For example, He et al. [15] and Tseng et al. [17] propose to utilize the visual hashing bits to compact the raw visual descriptors, which contains two stages.
To utilize the visual codebook, we perform geometric verification between the video keyframes and the iconic images to accumulate the histogram of iconic image occurrences (Section 3.3).
Different from feature compressing, He et al. [15] and Tseng et al. [17] have suggested to utilize the visual hashing bits to present raw visual descriptors.
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Remixers and bloggers should: Utilize the visuals of the debate stage and the candidates when deconstructing the message.
This simulation model is built in an object-oriented, visual manner utilizing the visual simulation environment (VSE).
The controller directly utilizes the visual features from image frames of a target spacecraft for computing both attitude and orbital maneuvers concurrently.
Existing work constructs the affinity graph by purely utilizing the visual relevance, where the context homogenization is a common phenomenon and hinders the performance of label prediction.
In this paper, we show that it is possible to handle this problem, without any priors, by utilizing the visual and contextual information already available in such scenes.
In this work, we focus on the problem of grounding language in the visual modality, and introduce a novel task for visual and linguistic understanding which requires resolving linguistic ambiguities by utilizing the visual context of the utterance.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com