In this short communication, we present a concise review of recent representative meta- learning methods for few-shot imageclassification. We re- fer to such methods as few-shot meta-learning methods. Af- ter establishing necessary notation, we first mathematically formulate few-shot learning and o...
2 (b) in this article and the review of [24] shows. A concise summary is presented below of the main tenets of the MPC framework. The reader is referred to Refs. [24] for a detailed description of terminology and taxonomy with respect to MPC and an attempt at describing the MPC ...
In this short communication, we present a concise review of recent representative meta- learning methods for few-shot image classification. We re- fer to such methods as few-shot meta-learning methods. Af- ter establishing necessary notation, we first mathematically formulate few-shot learning and ...
A concise peephole model based transfer learning method for small sample temporal feature-based data-driven quality analysisdoi:10.1016/j.knosys.2020.105665Wentao LuoJianfu ZhangPingfa FengDingwen YuZhijun WuKnowledge-Based Systems
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Li X, Sun Z, Xue J et al (2021) A concise review of recent few-shot meta-learning methods. Neurocomputing 456:463–468 ArticleGoogle Scholar Li P, Zhao G, Xu X (2022) Coarse-to-fine few-shot classification with deep metric learning. Inf Sci 610:592–604 ...
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