在本文中,我们采用R-λ模型来表征帧内每个编码树单元(CTU),并提出一种基于卷积神经网络(CNN)的方法来有效预测每个CTU的模型参数。 然后基于R-λ模型,针对HEVC帧内编码开发了一种新的CTU级比特分配和比特率控制算法。 实验结果表明,我们提出的基于CNN的方法优于HEVC参考软件中当前使用的速率控制算法,从而速率控制误差...
(ECG)signal classification.Firstly,the spectrogram of ECG signal is calculated by short-time Fourier transform,which can obtain time-frequency characteristics of the signal.Then,two kinds of convolutional neural network structures are designed.The ECG signal classification problem is modeled based on the...
Convolutional neural network (CNN) is an effective DL method. In this study, a new CNN based on LeNet-5 is proposed for fault diagnosis. Through a conversion method converting signals into two-dimensional (2-D) images, the proposed method can extract the features of the converted 2-D ...
Deep-learning-based visual inspection of facets and p-sides for efficient quality control of diode lasers In this work, we therefore suggest a deep learning based defect detection algorithm that builds on a Faster Regional Convolutional Neural Network (Faster R... C Zink,M Ekterai,D Martin,.....
(DL) provides an effective way to extract the features of raw data automatically. Convolutional neural network (CNN) is an effective DL method. In this study, a new CNN based on LeNet-5 is proposed for fault diagnosis. Through a conversion method converting signals into two-dimensional (2-...
https://github.com/anson0910/CNN_face_detectionhttps://github.com/mks0601/A-Convolutional-Neural-Network-Cascade-for-Face-Detectionhttps://github.com/IggyShone/fast_face_detector 本文早期使用级联CNN网络进行人脸检测代表性文献,在速度和精度上效果和以前算法相比都有所提升。 缺点:各个CNN trained sequentia...
卷积神经网络 — Convolutional Neural Network 卷积神经网络相较于BP神经网络的进步主要是极大地减少了构建网络所需要的参数。对于一个1000∗1000像素的RGB图像(width=1000,height=1000,depth=3),如果应用单层、十个神经元的BP神经网络构建网络模型,那么该网络就需要计算10∗1000∗1000∗3+10个参数的梯度。如果...
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 ...
A convolutional neural network (CNN) is a category ofmachine learningmodel. Specifically, it is a type ofdeep learningalgorithm that is well suited to analyzing visual data. CNNs are commonly used to process image and video tasks. And, because CNNs are so effective at identifying objects, the...
《A novel graph convolutional feature based convolutional neural network for stock trend prediction》 优秀文献精读! 作者:Wei Chen, Manrui Jiang, Wei-Guo Zhang, Zhensong Chen,2021 文献重要级别:较好技术难度:较难 核心:股票信息转化为图像信息 —— GC-CNN算法 —— 股价趋势预测...