Recently, convolutional neural network (CNN)-based data reconstruction has shown especially successful performance when utilized for charged particle tracking with good precision in accelerator and calorimeter experiments6,7,8. Additionally, CNNs have effectively overcome the spatial resolution limitations of ...
BeAware: Convolutional neural network(CNN) based user behavior understanding through WiFi channel state informationUser behavior analysisWiFi channel state information (CSI)Fresnel zoneIn modern informatics society, human beings are becoming more and more attached to the computer. Therefore, understanding ...
递归卷积层(RCL)的操作是相对于根据RCNN表示的离散时间步来执行的[41]。 R2U-Net全称叫做Recurrent Residual CNN-based U-Net[9]。该方法将残差连接和循环卷积结合起来,用于替换U-Net中原来的子模块,如下图所示: 图4 其中环形箭头表示循环连接。下图表示了几种不同的子模块内部结构图,(a)是常规的U-Net中使...
Voice disorders are very common in the global population. Many researchers have conducted research on the identification and classification of voice disorders based on machine learning. As a data-driven algorithm, machine learning requires a large number
The Mel spectrogram is divided into two halves based on frequency characteristics and then sent into the convolutional neural network. Gaussian white noise is superimposed on the original signal and the output results are assessed based on score coefficients, considering the complexity of the real ...
Based on the same research, the critical fact in capsule network: the number of the feature map, the number of the capsules, and the channels of the capsule will also be evaluated in this report. Experimental design Data neural network on medical image classification The Dataset comes from ...
[Ranzato07]M.A. Ranzato, C. Poultney, S. Chopra and Y. LeCun, in J. Platt et al., Efficient Learning of Sparse Representations with an Energy-Based Model, Advances in Neural Information Processing Systems (NIPS 2006), MIT Press, 2007. ...
Google出品,17年4月挂到arXiv上,尴尬的是,挺有影响力的一个网络,居然一个会都没中。之前看过一作Andrew G. Howard独立发表的《Some Improvements on Deep Convolutional Neural Network Based Image Classification》,这哥们也是神奇,这么多年总共就发了这两篇文章。总共有8个作者。。
深度学习方法:代表方法有R-CNN (Region-based Convolutional Neural Networks)和 YOLO。R-CNN是基于区域的卷积神经网络,结合Region Proposal和CNN,YOLO将图片分为S*S分区,每个分区检测中心点位于该分区的目标。其他方法包括SPP-net、Fast R-CNN、Faster R-CNN、R-FCN、SSD等 ...
《ABCNN-Attention-Based Convolutional Neural Network for Modeling Sentence Pairs》阅读笔记 1.主要贡献 1.1 可用于多种需要对句子队建模的任务,如: answer selection 选取答案,QA匹配; paraphrase identification 复述鉴别,判断两个句子意思是否相同; textual entailment 文本蕴含,第一句是否意味着第二句;...