AutoencoderConvolutional neural networkElectroencephalographyEpilepsySeizureVideo-EEG monitoringObjective: In long-term video-monitoring, automatic seizure detection holds great promise as a means to reduce the
Furthermore, Masci, Meier, Cireşan, and Schmidhuber (2011) proposed deep convolutional autoencoder for feature learning by integrating convolution neural network and autoencoder trained with online stochastic gradient descent optimisation. The architecture of Convolutional neural network is shown in Fig....
[Vincent08]Vincent, H. Larochelle Y. Bengio and P.A. Manzagol, Extracting and Composing Robust Features with Denoising Autoencoders, Proceedings of the Twenty-fifth International Conference on Machine Learning (ICML‘08), pages 1096 - 1103, ACM, 2008. [Tieleman08]Tieleman, Training restricted ...
Graph Convolution的理论告一段落了,下面开始介绍Graph Convolution Neural Network。 8 Deep Learning中的Graph Convolution Deep learning 中的Graph Convolution直接看上去会和第6节推导出的图卷积公式有很大的不同,但是万变不离其宗,(1)式是推导的本源。 第1节的内容已经解释得很清楚:Deep learning 中的Convolution...
论文:(2016) A cascaded convolutional neural network for age estimation of unconstrained faces 地址:http://ieeexplore.ieee.org/document/7791154 简述:使用建议的级联CNN进行年龄估计是为了处理Adience数据集、FG-NET数据集和ICCV 2015 Challern challenge数据集的无约束人脸图像。采用的方法分三个阶段完 。在第一...
Nikos Komodakis, GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders, ICLR ...
i.e. they share the same receptive field but not the same weights.Right:The neurons from the Neural Network chapter remain unchanged: They still compute a dot product of their weights with the input followed by a non-linearity, but their connectivity is now restricted to be local spatially....
The increasing interest in filter pruning of convolutional neural networks stems from its inherent ability to effectively compress and accelerate these networks. Currently, filter pruning is mainly divided into two schools: norm-based and relation-based. These methods aim to selectively remove the least...
Decoding whole-genome mutational signatures in 37 human pan-cancers by denoising sparse autoencoder neural network Article 11 June 2020 Introduction Somatic mutations are critical signatures in cancer genesis, progression, and treatment. Accurate detection of somatic mutations is challenging due to tumor...