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Metric for automatic machine translation evaluation based on pre-trained sentence embeddings
This study describes a segment-level metric for automatic machine translation evaluation (MTE). Although various MTE metrics have been …
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Excitation of erbium-doped nanoparticles in 1550-nm wavelength region for deep tissue imaging with reduced degradation of spatial resolution
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Application of deep learning (3-dimensional convolutional neural network) for the prediction of pathological invasiveness in lung adenocarcinoma
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Fall detection using optical level anonymous image sensing system
Fall is one of the leading causes of injury for the elderly individuals. Systems that automatically detect falls can significantly …
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Efficacy of Novel Multispectral Imaging Device to Determine Anastomosis for Esophagogastrostomy
© 2019 The Authors Background: Biomedical imaging devices that utilize the optical characteristics of hemoglobin (Hb) have become …
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High-Speed Imaging Using CMOS Image Sensor With Quasi Pixel-Wise Exposure
Several recent studies on compressive video sensing realized scene capture beyond the fundamental trade-off limit between spatial …
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Finding important people in a video using deep neural networks with conditional random fields
Finding important regions is essential for applications, such as content-aware video compression and video retargeting to automatically …
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Designing coded aperture camera based on PCA and NMF for light field acquisition
A light field, which is often understood as a set of dense multi-view images, has been utilized in various 2D/3D applications. …
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Invited Article: Label-free nerve imaging with a coherent anti-Stokes Raman scattering rigid endoscope using two optical fibers for laser delivery
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Iterative applications of image completion with CNN-based failure detection
Image completion is a technique to fill missing regions in a damaged or redacted image. A patch-based approach is one of major …
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