《Ensemble deep learning: A review》 集成深度学习: 综述 作者 M.A. Ganaie 和 Minghui Hu 来自印度理工学院印多尔分校数学系和南洋理工大学电气与电子工程学院 本文写的大而全。 初读 摘要 集成学习思想: 结合几个单独的模型以获得更好的泛化性能。 目前,深度学习架构与浅层或传统模型相比表现更好。深度集成...
(这里实际上是概括了两种sequential learning做无监督 representation的手段(当然,sequential data的representation learning的方式还有很多),一个是固定窗口,比如每次用 前5个sequential elements预测第6个sequential element,依次滑动进行,例如deep log,一种是累积滑动窗口,即每次都用前面所有的sequential elements 预测后一个...
通用特征提取的深度学习(DEEP LEARNING FOR FEATURE EXTRACTION) 正态学习的代表呈现( LEARNING FEATURE REPRESENTATIONS OF NORMALITY) 端到端的异常评分学习( END-TO-END ANOMALY SCORE LEARNING) 文章的第二大节是对异常问题的困难和传统方法与深度学习的简单总结。从第三大节开始对深度学习的描述。 三、传统问题和...
Deep learning Medical image segmentation Multi-modality fusion Review 1. Introduction Segmentation using multi-modality has been widely studied with the development of medical image acquisition systems. Different strategies for image fusion, such as probability theory [1], [2], fuzzy concept [3], [...
A Benchmark for 3D Mesh Segmentation Sydney Urban Objects Dataset Large-Scale point cloud classification benchmark 4. Methods 将深度学习应用到语义分割中的一个比较成功的方法是:FCN(fully convolutional network)。 这个工作被认为是 deep learning 在分割领域的一个里程碑。
We discuss on how far deep learning algorithms help in decision-making. We identify/address data collections, methodical contributions, promising methods, and challenges. However, a fair comparison is not trivial as dataset sizes vary over time, throughout the year 2020. Even though their ...
Deep Learning (DL) has recently become a topic of study in different applications including healthcare, in which timely detection of anomalies on Electrocardiogram (ECG) can play a vital role in patient monitoring. This paper presents a comprehensive review study on the recent DL methods applied ...
Deep Learning – A Review 来自 Semantic Scholar 喜欢 0 阅读量: 70 作者:VM Kota,VM Kumar,C Bharatiraja 摘要: In recent years, tech giants in various parts are showing Curiosity on Artificial Intelligence by investment on the project that can be a game-changer for both corporate and ...
of optical metrology. Unlike the traditional “physics-based” approach, deep-learning-enabled optical metrology is a kind of “data-driven” approach, which has already provided numerous alternative solutions to many challenging problems in this field with better performances. In this review, we ...
Pang, Guansong, et al. "Deep learning for anomaly detection: A review." ACM Computing Surveys (CSUR) 54.2 (2021): 1-38. 主题:基于深度方法的异常检测综述 摘要:异常检测的任务类型,问题复杂度,主要挑战。总结主流方法的假设,优缺点,场景。提出未来的研究方向。