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We demonstrate a novel technique for distributed Brillouin frequency estimation by fitting the Brillouin transfer function directly in the complex domain. Experimental results show the uncertainty of Brillouin frequency can be significantly reduced compared with the approaches based solely on Brillouin gain or phase.
The reconstruction of high-resolution gridded altimetry maps from irregularly sampled along-track data remains a key challenge in ocean remote sensing science. Operational products use optimal Interpolation (OI) techniques, which may not deal with nonlinear dynamics at short space-time scales. Here, we investigate an analog data assimilation scheme to improve the reconstruction of fine-scale structures...
Convolutional Neural Networks (CNN) have demonstrated its successful applications in computer vision, speech recognition, and natural language processing. For object recognition, CNNs might be limited by its strict label requirement and an implicit assumption that images are supposed to be target-object-dominated for optimal solutions. However, the labeling procedure, necessitating laying out the...
Ground state geometries and electronic properties of four experimentally reported spirosilabifluorene derivatives are calculated by HF(DFT)/6-31G* method. Their first excited state geometries are investigated using CIS/6-31G* method. The absorption and emission spectra are evaluated by TD-B3LYP/6-31G* and show an excellent agreement with the experimental data. The “CH”/N substituted spirosilabifluorene...
Deep learning, as a new unsupervised leaning algorithm, has strong capabilities to learn data representations. Previous work has shown that new features learned by deep learning algorithm help to improve the accuracy of cross-domain classification. In this paper, we firstly propose a modified version of marginalized stacked denoising autoencoders (mSDA). We call it mSDA++ algorithm, which can learn...
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