We propose a one-class neural network (OC-NN) model to detect anomalies in complex data sets. OC-NN combines the ability of deep networks to extract a progressively rich representation of data with the one-class objective of creating a tight envelope around normal data. The OC-NN approach ...
(2011) Classifying cognitive states of brain activity via one-class neural networks with feature selection by genetic algorithms. Int. J. Machine Learn. Cybern., 2, 125-134.Boehm Omer, Hardoon DavidR, Manevitz LarryM (2011) Classifying cognitive states of brain activity via one-class neural ...
Improved Learning of One-hidden-layer Convolutional Neural Networks with Overlaps We propose a new algorithm to learn a one-hidden-layer convolutional neural network where both the convolutional weights and the outputs weights are parame... Anonymous authors 被引量: 3发表: 2018年 A Robust Multi De...
内容提示: Anomaly Detection using One-Class Neural NetworksRaghavendra ChalapathyUniversity of Sydney, Capital MarketsCo-operative Research Centre(CMCRC)rcha9612@uni.sydney.edu.auAditya Krishna MenonData61/CSIRO and the AustralianNational Universityaditya.menon@data61.csiro.auSanjay ChawlaQatar Computing ...
The One Class Auto Associative Neural Network (AANN) has been investigated for solving various problems. Nonetheless, it is sensitive to the presence of outliers in the training set, which is known problem for one-class classifiers. For this, attempts have been done via proposing the use of ...
One-class Classification with Deep Autoencoder Neural Networks for Author Verification in Internet Relay Chat-AICCSA 2019 在本文中,我们设计了一个自主的IRC监控系统,执行递归深度学习来分类消息的威胁级别,并开发了一种基于深度自编码神经网络的单类分类作者验证方法。实验结果表明,... 查看原文 [coursera/...
Chalapathy, R., Menon, A.K., Chawla, S.: Anomaly detection using one-class neural networks. arXiv preprint arXiv:1802.06360 (2018) Kimura, D. et al.: Adversarial discriminative attention for robust anomaly detection. In: Proceedings of the IEEE/CVF Winter Conference on Applications of Comput...
In this work, we propose One Class Graph Neural Network (OCGNN), a one-class classification framework for graph anomaly detection. OCGNN is designed to combine the powerful representation ability of Graph Neural Networks along with the classical one-class objective. Compared with other baselines, ...
6. 3D Convolutional Neural Networks Initialized from Pretrained 2D Convolutional Neural Networks for Classification of Industrial Parts [O] . Ibon Merino, Jon Azpiazu, Anthony Remazeilles, 2021 机译:3D卷积神经网络从佩带的2D卷积神经网络初始化用于工业部件的分类 7. Modified Convolutional Neural Networ...
论文阅读 文章地址 ImageNet Classification with Deep Convolutional Neural Networks 论文阅读 摘要 一、Introduction 1.1 论文贡献 二、ImageNet数据集 三、The Architecture 3.1 **函数 3.2 多种GPU的训练 3.3 本地响应标准化 3.4 重叠池化 3.5 总体结构 四、减少过拟合 4...Classification...