Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods Index Terms—Small data methods, unsupervised methods, semi-supervised methods, domain adaptation, transformation equivariant representations, disentangled representations, generative models, auto-enc...
[2] Qi, G. J. , & Luo, J. . (2019). Small data challenges in big data era: a survey of recent progress on unsupervised and semi-supervised methods. [3] Raffel, C. , Shazeer, N. , Roberts, A. , Lee, K. , Narang, S. , & Matena, M. , et al. (2019). Exploring the...
Instead, we aim at exploring the main ideas, principles and methods in this area to reveal where we are heading on the journey towards addressing the small data challenges in this big data era. 展开 关键词: Computer Science - Computer Vision and Pattern Recognition ...
P. (2015). Small data in the era of big data. GeoJournal, 80(4), 463-475.Kitchin et Lauriault, 2014] Kitchin, R. et Lauriault, T. P., 2014, « Small Data in the Era of Big data », GeoJournal, 1-13.Kitchin, R.; Lauriault, T.P. Small data in the era of big ...
In the past decade, cancer research has seen an increasing trend towards high-throughput techniques and translational approaches. The increasing availability of assays that utilise smaller quantities of source material and produce higher volumes of data
In this review, we highlight the Big Data challenges faced by translational research groups in the precision medicine era; an era in which the genomes of over 75 000 patients will be sequenced by the National Health Service over the next 3 years to advance healthcare. In particular, we ...
Mobile data traffic is experiencing an exponential growth, driven by data capable devices and high bandwidth applications (APPs). 80% of data traffic is generated from hotspots and indoor locations. Small Cell is an important element that forms coordinated HetNet in indoor and outdoor hotspots and...
题目:Small Sample Learning in Big Data Era 期刊/会议:arXiv 发表时间:2018年 引用次数:1 二、论文总结 2.1 研究方向 小样本学习综述 2.2 主要内容 小样本学习主要包括两个方向:concept learning和experience learning。其中,concept learning目的是利用concept system,...
This review discussed the dilemma of small data faced by materials machine learning. First, we analyzed the limitations brought by small data. Then, the workflow of materials machine learning has been introduced. Next, the methods of dealing with small data were introduced, including data extraction...
Small Sample Learning in Big Data Era As a promising area in artificial intelligence, a new learning paradigm, called Small Sample Learning (SSL), has been attracting prominent research attention in the recent years. In this paper, we aim to present a survey to comprehensively introduce the ...