Showing 21 - 40 results of 198 for search '(((("brewing methods") OR ("drying methods"))) OR ((("pruning methods") OR ("learning methods"))))', query time: 0.18s Refine Results
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    Robust and efficient deep learning methods for vision-based action recognition by Xu, Yuecong

    Published 2021
    “…Significant progress has been made in vision-based action recognition thanks to the development of recognition technologies, particularly deep learning methods which have proven their effectiveness in visual recognition tasks, such as image classification. …”
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    Thesis-Doctor of Philosophy
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    Deep learning methods for genome-based prediction of drug resistance in Mycobacterium tuberculosis by Wang, C

    Published 2023
    “…In this doctoral thesis, which is based on the CRyPTIC datasets, we explore and develop a variety of machine learning and deep learning methods. Our research includes the application of binary classifiers for predicting MTB resistance labels, the employment of multi-class classification and ordinal regression techniques for predicting minimum inhibitory concentrations of MTB, and the implementation of calibration models to improve the uncertainty estimation in our predictions.…”
    Thesis
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    MCI-frcnn: a deep learning method for topological micro-domain boundary detection by Tian, Simon Zhongyuan, Yin, Pengfei, Jing, Kai, Yang, Yang, Xu, Yewen, Huang, Guangyu, Ning, Duo, Fullwood, Melissa Jane, Zheng, Meizhen

    Published 2023
    “…In all, the MCI-frcnn deep learning method which we developed in this work is a general tool for micro-domain boundary detection.…”
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    Journal Article
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    Morphological learning in spiking neurons: a new hardware efficient maching learning method by Jahagirdar, Kavya

    Published 2014
    “…‘Morphological Learning in Spiking Neurons: A New Hardware Efficient Machine Learning Method’ explores the greater performance of spiking neurons with lumped non-linearity than their counterparts with linear synaptic summation of signals. …”
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    Final Year Project (FYP)
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    A supervised two-channel learning method for hidden Markov model and application on lip reading by Foo, Say Wei, Dong, Liang

    Published 2009
    “…In this paper, a novel two-channel learning method for hidden Markov model (HMM) is proposed. …”
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    Conference Paper
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