Showing 21 - 40 results of 6,756 for search '((pinn OR (pine OR (fine OR find))) OR (pina OR (ming OR ling)))', query time: 0.23s Refine Results
  1. 21

    Visual analytics for fine-grained text classification models and datasets by Battogtokh, M, Xing, Y, Davidescu, C, Abdul-Rahman, A, Luck, M, Borgo, R

    Published 2024
    “…In natural language processing (NLP), text classification tasks are increasingly fine-grained, as datasets are fragmented into a larger number of classes that are more difficult to differentiate from one another. …”
    Journal article
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    Ultra-fine bainite in medium-carbon high-silicon bainitic steel by Yu, Xinpan, Wang, Yong, Wu, Huibin, Gong, Na

    Published 2024
    “…%C ultra-fine bainitic steel is through austenitization at 1000 °C and austempering at 340 °C.…”
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    Journal Article
  8. 28

    Building fame through tea: the Wu Family and the Manufacture of zisha teapots during the Ming and Qing dynasties by Gao, X, Hein, A

    Published 2024
    “…By examining the Wu family’s connection with the origin of zisha teapots, this study investigates how Ming literati used material culture to shape family reputation. …”
    Journal article
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    Direction finding for UWB RFID system in dense cluttered environments by Luo, Yanjia

    Published 2014
    “…Source direction finding with an antenna array is a major topic in radar-related applications. …”
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    Thesis
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    The computational complexity of finding stationary points in non-convex optimization by Hollender, A, Zampetakis, M

    Published 2024
    “…<p>Finding approximate stationary points, i.e., points where the gradient is approximately zero, of non-convex but smooth objective functions f over unrestricted d-dimensional domains is one of the most fundamental problems in classical non-convex optimization. …”
    Journal article
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    Strike a pose: tracking people by finding stylized poses by Ramanan, D, Forsyth, DA, Zisserman, A

    Published 2005
    “…We develop an algorithm for finding and kinematically tracking multiple people in long sequences. …”
    Conference item
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