异常检测网络的相关内容

文章 2025-01-06 来自：开发者社区

GeneralDyG：南洋理工推出通用动态图异常检测方法，支持社交网络、电商和网络安全

❤️ 如果你也关注 AI 的发展现状，且对 AI 应用开发非常感兴趣，我会每日分享大模型与 AI 领域的最新应用和热点信息，提供开源实例和实用教程，帮助你快速上手AI技术，欢迎关注我哦！微信公众号｜搜一搜：蚝油菜花快速阅读功能：GeneralDyG 是一种通用动态图异常检测方法，适用于社交网络、电商和网络安全等领域。技术：通过时间 ego-graph 采样、图神经网络和时间...

文章 2023-07-12 来自：开发者社区

使用单类全卷积数据描述异常检测网络检测药丸图像上的缺陷

一、前言使用单类全卷积数据描述（FCDD）异常检测网络检测药丸图像上的缺陷。异常检测的一个关键目标是让人类观察者能够理解为什么经过训练的网络将图像分类为异常。FCDD支持e可解释的分类，它用证明神经网络如何达到其分类决策的信息来补充类预测。FCDD 网络返回一个热图，其中包含每个像素异常的概率。分类器根据异常分数热图的平均值将图像标记为正常或异常。二、下载用于分类数据集的药丸图像此示例.....

文章 2023-05-16 来自：开发者社区

ICML 2022 | 基于结构化数据的异常检测再思考: 我们究竟需要怎样的图神经网络？

图神经网络（GNN）被广泛应用于结构化数据的异常检测，例如社交网络恶意账号检测、金融交易欺诈检测等。香港科技大学和斯坦福大学的研究者首次从谱域的角度（即图拉普拉斯矩阵的谱分解）分析了异常数据可能造成的影响。核心发现是：异常数据将导致频谱能量出现 “右移” 现象，即频谱能量分布从低频向高频移动。基于这一发现，他们又提出了 Beta 小波图神经网络（BWGNN）。它拥有多个具有局部性的带通滤波器，能....

问答 2022-09-07 来自：开发者社区

当前用于异常检测的基于神经网络的检测算法有很多，其中比较常见的是哪些？

共有4条

< 1 >

跳转至： GO

更新时间 2025-01-07 08:54:46

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